Abstract: The constrained watershed boundary (CWB), defined as a polygon containing all the flow direction grid cells with a surface flow distance less than a user prescribed threshold uses an algorithm that builds upon the HSM algorithm proposed and augments the data structure with a flow distance grid calculated directly from the original flow direction grid.

Abstract: A method for associating a link to web content with a multimedia content element are provided. The method includes identifying at least one multimedia content element in a web-page; generating, by a signature generator system, a signature for the at least one multimedia content element, wherein the signature generator system includes a plurality of computational cores enabled to receive the multimedia content element and to generate a signature for at least a portion of the multimedia content element, each computational core having properties that are at least partly statistically independent of the other computational cores; matching the generated signature to signatures of web content existing on at least one web server to determine matching web content; determining a link to the matching web content; and modifying the at least one multimedia content by adding the link.

Abstract: Techniques are provided for determining a cell count within a whole slide pathology image. The image is segmented using a global threshold value to define a tissue area. A plurality of patches comprising the tissue area are selected. Stain intensity vectors are determined within the plurality of patches to generate a stain intensity image. The stain intensity image is iteratively segmented to generate a cell mask using a local threshold value that is and gradually reduced after each iteration. A chamfer distance transform is applied to the cell mask to generate a distance map. Cell seeds are determined on the distance map. Cell segments are determined using a watershed transformation, and a whole cell count is calculated for the plurality of patches based on the cell segments. A client device may be configured for real-time cell counting based on the whole cell count.

Abstract: Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of receiving one or more digital images; identifying a foreground of the one or more digital images; analyzing the foreground of the one or more digital images to identify a skin region in the foreground of the one or more digital images; when the skin region is identified, clustering a non-skin remainder of the foreground of the one or more digital images into one or more clusters; extracting one or more patches of the one or more digital images from the one or more clusters of the foreground of the one or more digital images; determining one or more scores for the one or more patches of the one or more digital images; and coordinating displaying a patch of the one or more patches on an electronic display based on the one or more scores for the one or more patches. Other embodiments are disclosed herein.

Abstract: In some examples, a smartphone or tablet includes a device able to generate a digital identifier of a copy that includes at least one print image. The device includes at least one optoelectronic detection device that detects the at least one print image and creates a representation that includes a multiplicity of pixels. The device further includes a unit that evaluates brightness intensities of the pixels, that segments the representation into multiple fields that each are composed of pixels of the representation, and that provides each of these fields with a piece of position information. The unit also ascertains, in each of these fields of adjoining pixels, a difference in their respective brightness intensities, and displays the differences as a frequency distribution. A display device further displays the digital identifier of the respective copy of the relevant printed product in the form of a graphical and/or alphanumerical display.

Abstract: Embodiments of the invention provide a system, media, and method for deep learning applications in physical design verification. Generally, the approach includes maintaining a pattern library for use in training machine learning model(s). The pattern library being generated adaptively and supplemented with new patterns after review of new patterns. In some embodiments, multiple types of information may be included in the pattern library, including validation data, and parameter and anchoring data used to generate the patterns. In some embodiments, the machine learning processes are combined with traditional design rule analysis. The patterns being generated and adapted using a lossless process that encodes the information of a corresponding area of a circuit layout.

Abstract: A commodity sales data processing apparatus includes an image processor and a controller. The image processor captures an image including a symbol. The symbol includes discount information relating to a discount on a price of a commodity. The controller acquires commodity information that uniquely specifies the commodity. The controller extracts a region from the image captured by the camera. The region includes the symbol. The controller transmits, to a server, an image of the region extracted by the controller. The controller acquires, from the server, the discount information based on the image transmitted to the server. The controller registers the commodity information acquired by the controller and a discounted price of the commodity based on the discount information acquired by the controller in association with each other.

Abstract: Embodiments of the present disclosure include a method that obtains a digital image. The method includes extracting a word block from the digital image. The method includes processing the word block by evaluating a value of the word block against a dictionary. The method includes outputting a prediction equal to a common word in the dictionary when a confidence factor is greater than a predetermined threshold. The method includes processing the word block and assigning a descriptor to the word block corresponding to a property of the word block. The method includes processing the word block using the descriptor to prioritize evaluation of the word block. The method includes concatenating a first output and a second output. The method includes predicting a value of the word block.

Abstract: A system for modeling a roof of a structure comprising a first database, a second database and a processor in communication with the first database and the second database. The processor selects one or more images and the respective metadata thereof from the first database based on a received a geospatial region of interest. The processor generates two-dimensional line segment geometries in pixel space based on two-dimensional outputs generated by a neural network in pixel space of at least one roof structure present in the selected one or more images. The processor classifies the generated two-dimensional line segment geometries into at least one contour graph based on three-dimensional data received from the second database and generates a three-dimensional representation of the at least one roof structure based on the at least one contour graph and the received three-dimensional data.

Abstract: Embodiments may: select a set of training images; extract a first set of features from each training image of the set of training images to generate a first feature tensor for each training image; extract a second set of features from each training image to generate a second feature tensor for each training image; reduce a dimensionality of each first feature tensor to generate a first modified feature tensor for each training image; reduce a dimensionality of each second feature tensor to generate a second modified feature tensor for each training image; construct a first generative model representing the first set of features and a second generative model representing the second set of features of the set of training images; identify a first candidate image; and apply a regression algorithm to the first candidate image and each of the first generative model and the second generative model to determine whether the first candidate image is similar to the set of training images.

Abstract: Systems, methods, tangible non-transitory computer-readable media, and devices for autonomous vehicle operation are provided. For example, a computing system can receive object data that includes portions of sensor data. The computing system can determine, in a first stage of a multiple stage classification using hardware components, one or more first stage characteristics of the portions of sensor data based on a first machine-learned model. In a second stage of the multiple stage classification, the computing system can determine second stage characteristics of the portions of sensor data based on a second machine-learned model. The computing system can generate an object output based on the first stage characteristics and the second stage characteristics. The object output can include indications associated with detection of objects in the portions of sensor data.

Abstract: A method of reduce the impact of noise on a depth image produced using a Time Of Flight (TOF) camera uses an infrared image produced from one or more phase-specific images captured by the TOF camera to determine whether to move pixels in the depth image from one phase section to another.

Abstract: A technique for combining first and second images respectively depicting first and second subject matter to facilitate virtual presentation. The first image is processed to identify portions or regions of the first subject matter and determine an estimated depth location of each portion or region. A composite image is generated that depicts the second subject matter overlayed, inserted or otherwise combined with the first subject matter. One or more of the portions or regions of the first subject matter are added, removed, enhanced or modified in the composite image in order to generate a realistic appearance of the first subject matter combined with the second subject matter. The composite image is caused to be displayed as a virtual presentation.

Abstract: An example apparatus for generating synthesized images includes a receiver to receive a frame, a mask and external images. The apparatus also includes a foreground augmenter to generate augmented foregrounds in the frame based on the mask. The apparatus includes a background augmenter to generate augmented backgrounds based on the frame, the mask, and the external images. The apparatus also further includes an image synthesizer to generate a synthesized image based on the generated augmented foregrounds and the augmented backgrounds.

Abstract: The present application provides a method for a WiFi module and system of the same. The method including: determining whether a specific process is a high-power consumption event; and when the specific process is determined as the high-power consumption event, performing a time-divisional operation upon the specific process. The present application further provides another method for a WiFi module, including: determining whether a specific process is a high-power consumption event; and when the specific process is determined as the high-power consumption event, estimating a first power consumption request information and transmitting the information to a control module of a local end; and receiving a first response corresponding to the first power consumption request information from the control module.

Abstract: An image inpainting method is performed at a computing device, the method including: displaying an original image, and determining a to-be-inpainted first original region and a second original region different from the first original region in the original image in accordance with a user input; identifying a target pixel and a target pixel block comprising the target pixel in the first original region; obtaining a target search region from the second original region according to the target pixel and the target pixel block comprising the target pixel, an area of the target search region being smaller than an area of the second original region; and searching the target search region for a reference pixel block matching the target pixel block and updating the original image by inpainting the target pixel block according to the reference pixel block, and displaying the updated image.

Abstract: A method, a video processing apparatus and computer-readable program medium for video process is disclosed. A method of video processing includes storing, during a conversion between a current block of video and a bitstream representation of the current block, affine model parameters for the current block; and performing the conversion using the affine model parameters, wherein the affine model parameters are derived at least from motion vectors of control points of the current block.

Abstract: Methods for automatically segmenting a 3D model of a patient's teeth may include scanning a patient's dentition and converting the scan data into a 3D model, including a sparse voxel representation of the 3D model. Features can be extracted from the sparse voxel representation of the 3D model and input into a machine learning model to train the machine learning model to segment the 3D model into individual dental components.

Abstract: A mechanical arm calibration system and a mechanical arm calibration method are provided. The method includes: locating a position of an end point of a mechanical arm in a three-dimensional space to calculate an actual motion trajectory of the end point when the mechanical arm is operating; retrieving link parameters of the mechanical arm, randomly generating sets of particles including compensation amounts for the link parameters through particle swarm optimization (PSO), importing the compensation amounts of each of the sets of particles into forward kinematics after addition of the corresponding link parameters, to calculate an adaptive motion trajectory of the end point; calculating position errors between the adaptive motion trajectory and the actual motion trajectory of each of the sets of particles for a fitness value of the PSO to estimate a group best position; and updating the link parameters by the compensation amounts corresponding to the group best position.

Abstract: An object is to improve character recognition accuracy of handwritten characters, originally a single continuous character string, described discontinuously. An image area corresponding to a handwritten character is separated from a document image obtained by scanning a document and a character block including characters having the same baseline is extracted. Then, in a case where a plurality of character blocks is extracted from the first image area, a single character block is generated by combining character blocks based on a position relationship of the plurality of character blocks.

Abstract: A method for pancreatic mass diagnosis and patient management includes: receiving CT images of a pancreas of a patient, the pancreas of the patient including a mass; performing a segmentation process on the CT images of the pancreas and the mass to obtain a segmentation mask of the pancreas and the mass of the patient; performing a mask-to-mesh process on the segmentation mask of the pancreas and the mass of the patient to obtain a mesh model of the pancreas and the mass of the patient; performing a classification process on the mesh model of the pancreas and the mass of the patient to identify a type and a grade of a segmented pancreatic mass; and outputting updated CT images of the pancreas of the patient, the updated CT images including the segmented pancreatic mass highlighted thereon and the type and the grade of the segmented pancreatic mass annotated thereon.

Abstract: Systems and methods are disclosed for operating a head-mounted display system based on user perceptibility. The display system may be an augmented reality display system configured to provide virtual content on a plurality of depth planes by presenting the content with different amounts of wavefront divergence. Some embodiments include obtaining an image captured by an imaging device of the display system. Whether a threshold measure or more of motion blur is determined to be exhibited in one or more regions of the image. Based on a determination that the threshold measure or more of motion blur is exhibited in one or more regions of the image, one or more operating parameters of the wearable display are adjusted. Example operating parameter adjustments comprise adjusting the depth plane on which content is presented (e.g., by switching from a first depth plane to a second depth plane), adjusting a rendering quality, and adjusting power characteristics of the system.

Abstract: Disclosed are a method for partitioning a block and a decoding device. A method for decoding an image comprises the steps of: partitioning one prediction unit, in which an intra prediction is performed in a predetermined intra prediction mode, into a plurality of transform units; and performing the intra prediction for each of the plurality of the transform units on the basis of the predetermined intra prediction mode. Thus, the invention increases the image encoding efficiency.

Abstract: Methods, apparatus, systems and articles of manufacture to perform remote monitoring are disclosed. Some example methods include adjusting an image capture rate at which an image sensor captures images based on a difference image containing differences between a first image of a first set of objects and a second image of a second set of objects. Example methods also include reducing a file size of the difference image using an edge detection technique and prioritizing one or more of a set of frames based on an amount of information contained in the frames. The frames are subdivisions of the image. In further example methods, the first image is taken at a first time and the second image is taken at a second, later time, and the method includes subtracting the first image from the second image to generate the difference image.

Abstract: In one embodiment, a computing device may determine a virtual content to be displayed with a scene of a real-world environment. The device may generate an image depicting the virtual content. Using one or more sensors, the device may detect characteristics of the scene of the real-world environment. Based on the image and the characteristics of the scene, the device may determine that a visual enhancement is to be applied to the virtual content depicted in the image to enhance a contrast between the depicted virtual content and the scene. The device may generate a visually-enhanced image depicting the virtual content by applying the visual enhancement to the virtual content depicted in the image. The device may display the visually-enhanced image of the virtual content on a display of the computing device, wherein the scene of the real-world environment is visible through the display.

Abstract: Segmenting an image is disclosed including acquiring a first image and a second image, the first image and the second image being obtained based on a same imaging target, and a resolution of the first image being greater than a resolution of the second image, performing image segmentation processing based on a plurality of sub-images of the first image to obtain a first initial segmentation result, performing image segmentation processing based on the second image to obtain a second initial segmentation result, merging, based on the imaging target, the first initial segmentation result with the second initial segmentation result to obtain a target segmentation result, and outputting or storing the target segment result.

Abstract: A video co-shooting method, an apparatus, an electronic device, and a computer-readable medium are provided, which involve the field of video processing technology. The method includes: receiving a co-shooting request input by a user based on a first video; in response to the co-shooting request, turning on a video capture apparatus, and acquiring a second video through the video capture apparatus; and fusing the first video with the second video to obtain a target video. In the embodiments of the present disclosure, a video capture apparatus is turned on according to a co-shooting request input by a user based on a first video, a second video is acquired through the video capture apparatus, and the first video is fused with the second video, so as to obtain a target video.

Abstract: A parallel data access method for massive remote-sensing images includes: 1) segmenting a remote-sensing image to be processed using a set grid system, data in each grid corresponding to a data block; 2) collecting a data access log of an underlying distributed object storage system Ceph in a past period of time, and measuring a load index of each Ceph cluster and a load index of each pool; 3) selecting a pool with a minimum load in a Ceph cluster with a minimum current load to serve as a storage position of a current data block, and writing each data block into a corresponding pool; 4) returning a data identifier dataid and a data access path of the remote-sensing image; and 5) storing metadata of each data block in a metadata database. The method can support rapid and high-concurrency read and write of large-area data of a grid data block.

Abstract: Described herein are systems, apparatus, methods and computer program products configured for image detection/recognition of products. The disclosed systems and techniques utilize video data to provide the necessary number of images and view angles needed to train a machine learning product detection/recognition system to recognize a specific product within later provided images. In various embodiments, a user may provide video data and the video data may be transformed in a manner that may aid in training of the machine learning system.

Abstract: An information processing apparatus including circuitry that acquires information indicating a spatial relationship between a real object and a virtual object, and initiate generation of a user feedback based on the acquired information, the user feedback being displayed to be augmented to a generated image obtained based on capturing by an imaging device, or augmented to a perceived view of the real world, and wherein a characteristic of the user feedback is changed when the spatial relationship between the real object and the virtual object changes.

Abstract: A method includes receiving a set of video frames that correspond to a video, including a first video frame and a second video frame that each include a face, wherein the second video frame is subsequent to the first video frame. The method further includes performing face tracking on the first video frame to identify a first face resampling keyframe and performing face tracking on the second video frame to identify a second face resampling keyframe. The method further includes deriving an interpolation amount. The method further includes determining a first interpolated face frame based on the first face resampling keyframe and the interpolation amount. The method further includes determining a second interpolated face frame based on the second face resampling keyframe and the interpolation amount. The method further includes rendering an interpolated first face and an interpolated second face. The method further includes displaying a final frame.

Abstract: This application discloses a map generation method and apparatus, an electronic device, and a computer storage medium. The method includes: selecting a plurality of sub-level maps from a sub-level map library; sequentially placing first M sub-level maps of the plurality of sub-level maps in a predetermined map region, the first M sub-level maps being all located in the map region, and the first M sub-level maps not overlapping with each other; and sequentially placing the remaining sub-level maps not to overlap with the sub-level maps placed in the map region and to be connected to at least one of the sub-level maps placed in the map region, to obtain a target map.

Abstract: An example virtual reality (VR) system includes a VR headset, a plurality of monitoring stations, and an image processing device. Each of the monitoring stations includes an image sensor to capture images of the VR headset and an environment in which the VR headset is used. The image processing device is to process the images captured by the monitoring stations to detect an object in the environment, and to transmit, to the VR headset, information that includes notification of the object detected.

Abstract: Dense feature scale detection can be implemented using multiple convolutional neural networks trained on scale data to more accurately and efficiently match pixels between images. An input image can be used to generate multiple scaled images. The multiple scaled images are input into a feature net, which outputs feature data for the multiple scaled images. An attention net is used to generate an attention map from the input image. The attention map assigns emphasis as a soft distribution to different scales based on texture analysis. The feature data and the attention data can be combined through a multiplication process and then summed to generate dense features for comparison.

Abstract: A method for chip collection and a method for chip positioning are provided. The method for chip collection includes that: an image to be detected is obtained; chip position information of a comparison image with a highest matching degree with the image to be detected is obtained from a database; a position of each of detection regions in the image to be detected is obtained based on the chip position information; an image of the detection region is obtained based on the position of each detection region; it is determined whether the image of the detection region includes the chip code image; and when the image of the detection region includes the chip code image, a chip code corresponding to the chip code image identified and the chip code is stored in the database.

Abstract: To enable high-speed autonomous flight of a flight object. A three-dimensional real-time observation result is generated on the basis of self-position estimation information and three-dimensional distance measurement information. A prior map corresponding to a three-dimensional real-time observation result is acquired. The three-dimensional real-time observation result and the prior map are aligned. After the alignment, the three-dimensional real-time observation result is expanded on the basis of the prior map. A flight route is set on the basis of the three-dimensional real-time observation result having been expanded. In the flight object such as a drone, a somewhat long flight route can be accurately calculated at a time in a global behavior plan, which enables high-speed autonomous flight of the flight object.

Abstract: A navigational control method for a mobile automation apparatus includes: controlling a depth sensor to capture depth data representing a portion of a facility containing an obstacle; identifying the obstacle from the depth data; determining a probability that the obstacle is static; based on the probability, assigning the obstacle one of a dynamic class, a static class, and at least one intermediate class; updating a map to include a position of the obstacle, and the assigned class; and selecting, based on the assigned class, a navigational control action from a first action type associated with the dynamic class and the intermediate class, and a second action type associated with the static class.

Abstract: Techniques for performing natural language processing (NLP) on semi-structured data are described. An exemplary method includes receiving a semi-structured document to perform NLP on using a trained NLP model; converting the semi-structured document into a secondary format, wherein the secondary format includes spatial information for tokens of the semi-structured document; flattening the converted, secondary formatted semi-structured document into a Unicode Transformation Format text file; performing NLP on the Unicode Transformation Format text file using the trained NLP model; and providing a result of the NLP to a requester.

Abstract: An apparatus comprises a detection unit configured to detect an object region from an image, a first processing unit configured to perform first image processing on the object region, a second processing unit configured to perform second image processing on a region other than the object region, a first determination unit configured to determine, in the object region, a first referential region to undergo the first image processing and having a size approximating the object region; and a second determination unit configured to determine a second referential region having a size approximating the object region and different from the size of the first referential region, in order to determine the region to undergo the second image processing.

Abstract: This invention is related to a method to improve the performance of a deep neural network (10) for the identification of a segmentation target (111) in a medical image (12, 110), comprising the steps of performing n training steps on said deep neural network (10) for the identification of said region of interest on two different representations (13, 14) of the same segmentation target (111), said representations (13,14) being definitions of the same segmentation target (111).

Abstract: The present application relates to an image processing method and system. The method includes: determining an enhanced image of a target object of an input image based on a segmentation algorithm, where the enhanced image of the target object comprises an image in which each pixel classified as the target object is displayed in an enhanced manner; and determining a positioning image of the target object by applying an integral image algorithm to the enhanced image of the target object.

Abstract: The present invention provides an inspection apparatus including a reading unit configured to read a document. The inspection apparatus compares a read image obtained by the reading unit reading a chart including a mark for acquiring distortion information printed by a printing apparatus and a reference image serving as a correct image of the chart, and generates distortion information when reading by the reading unit; and corrects, using the generated distortion information, an inspection target image obtained by the reading unit reading a printed matter from the printing apparatus; aligns the first corrected image corrected in the correcting with a reference image of the printed matter; and compares a second corrected image aligned in the aligning with a reference image of the printed matter to inspect a defect of the printed matter.

Abstract: Systems and methods for automatically detecting and isolating objects in images. An image containing at least one object of interest is segmented by a segmentation module, based on the class of object each pixel of the image depicts. A bounding module then determines coordinates of a predetermined shape that covers at least a portion of the at least one object of interest. An application module then applies a bounding box having those coordinates and having the predetermined shape to the original image. In some embodiments, the coordinates are determined based on a mask layer that is based on the object classes in the image. In other embodiments, the coordinates are determined based on the mask layer and on an edge mask layer. Some embodiments comprise at least one neural network. In some embodiments, the objects of interest are text objects.

Abstract: A method for recognizing polluted seawater areas based on high-resolution remote sensing images includes performing automatic sea and land classification on a remote sensing image by using a supervised learning algorithm. The classification result reaches a higher precision level by processized iterative clustering compared to conventional methods. The method further includes combining a chlorophyll-associated normalized difference vegetation index, a brightness-associated normalized difference water shadow index, a segmentation-based image interpretation thought and a human visual saliency-based mechanism in remote sensing interpretation by virtue of a chlorophyll concentration difference of a seawater polluted area and surrounding seawater and a brightness difference of pollutant shadows. The seawater polluted area is extracted by threshold segmentation. An area where the water quality is good and a heavily polluted area are extracted. A pollution transition area is further extracted.

Abstract: Disclosed herein are a system and method for assisting the verification of the contouring of medical images. A system for assisting the verification of the contouring of medical images according to an embodiment of the present invention receives a medical image set including a plurality of medical images via the communication interface, receives the result information of contouring performed on a plurality of regions of interest (ROIs) on the plurality of medical images in the medical image set via the communication interface, calculates the feature value of each of the plurality of ROIs, corresponding to the result information of the contouring, for each of the plurality of medical images, and displays the boundary of each of the plurality of ROIs corresponding to the result information of the contouring by projecting the boundary onto a reference plane.

Abstract: A process operable using a computerized system (300) grades the clarity of a diamond (315, 400) as a function of internal defects within its body (315, 400). The computerized system (300) includes an optical image acquisition device (310), a processor module (320) and an output module (340) operably interconnected together. The process includes the steps of (i) acquiring via an optical image acquisition device (310) a plurality of top view images of a diamond (315, 400); (ii) in a processor module (320), detecting defects within the body of the diamond (315, 400); and (iii) from an output module (340), providing a signal indicative of the clarity grade assigned in (ii).

Abstract: There is a need for more effective and efficient document processing solution. Accordingly, various embodiments of the present invention introduce various document processing optimization solutions. In one example, a method includes identifying a plurality of input pages each associated with a related input document of a plurality of input documents; for each input page of the plurality of input pages, generating a segmented page; processing each segmented page using a trained encoder model to generate a fixed-dimensional representation of the input page; determining, based at least in part on each fixed-dimensional representation, a plurality of document clusters; determining a plurality of processing groups, where each processing group is associated with one or more related document clusters of the plurality of document clusters; and performing the document processing optimization based at least in part on the plurality of processing groups.

Abstract: One embodiment of the present invention sets forth a technique for dynamically cropping image data transmitted to an endpoint device. The technique includes computing a first visual interest score for a first visual interest region within a digital image based on content included in the first visual interest region, computing a second visual interest score for a second visual interest region within the digital image based on content included in the second visual interest region, and determining that the first visual interest region is preferred over the second visual interest region based on the first visual interest score and the second visual interest score. The technique further includes setting a location within the first visual interest region as a point of visual interest and transmitting the digital image and the location of the point of visual interest to a computing device for displaying a portion of the digital image that includes the point of visual interest.

Abstract: A computer-implemented method for guiding a surgeon to acquire one or more registration points on a body of a patient. The method includes matching a non-patient-specific virtual mask to image data of a patient, and obtaining a plurality of image surface points defining a skin surface in the image data. The method further comprises determining, based on the matched virtual mask, for at least one of the plurality of image surface points, a priority value indicative of a priority for acquiring a registration point at a position, relative to the patient's body, that corresponds to a position of the at least one image surface point relative to the skin surface defined in the image data. The method also includes triggering display of a visualization of the priority value, or of a visualization of information derived from the priority value.

Abstract: A method for processing video data, comprising: receiving raw video data, representative of a plurality of frames; detecting, using the raw video data, one or more regions of interest in a detection frame that belongs to the plurality of frames, for example using a region proposal network; performing a cropping process on a portion of the raw video data representative of the detection frame, based on the regions of interest, so as to generate cropped raw video data; performing image processing on the cropped raw video data, including demosaicing, so as to generate processed image data for the detection frame; and analyzing the processed image data, for example using an object detection process, to determine information relating to at least one of said one or more regions of interest.