Abstract: A system generates a secure barcode by: identifying a primary pattern for a two-dimensional barcode to be printed on a substrate, wherein the primary pattern comprises of a set of dark cells and a set of light cells; identifying a two-dimensional micro-shape, wherein the micro-shape has a size that is no larger than a size of each cell of the two-dimensional barcode; generating a secondary pattern comprising a plurality of the micro-shapes; and superimposing the secondary pattern with the primary pattern for the two-dimensional barcode to yield a secure barcode. The resulting two-dimensional barcode includes a primary pattern comprising a set of dark cells and a set of light cells, where the sets represent encoded data, along with a secondary pattern of micro-shapes that are superimposed with the primary pattern.

Abstract: A method, computer readable medium and apparatus for verifying an identity of an individual based upon facial expressions as exhibited in a query video of the individual are disclosed. The method includes receiving a reference video for each one of a plurality of different individuals, wherein a plurality of facial gesture encoders is extracted from at least one frame of the reference video describing one or more facial expressions of each one of the plurality of different individuals, receiving the query video, calculating a similarity score for the reference video for the each one of the plurality of different individuals based on an analysis that compares the plurality of facial gesture encoders of the at least one frame of the reference video for the each one of the plurality of different individuals to a plurality of facial gesture encoders extracted from at least one frame of the query video.

Abstract: A system and method for cropping a license plate image to facilitate license plate recognition by obtaining an image that includes the license plate image, dividing the image into multiple sub-blocks, computing an activity measure for each sub-block; determining an activity threshold, determining that a sub-block is an active sub-block by comparing the activity measure for the sub-block with the activity threshold, generating a second image of the license plate information, where the second image includes the active sub-block, and obtaining the license plate information based on the second image.

Abstract: In a system for detecting location of an object inside of a building, an image capture device of a mobile electronic device captures an image of a boundary of a room in which the portable electronic device is positioned. The system extracts features of a boundary (ceiling, wall or floor) in the image to determine whether the mobile device is in a known location. When the system identifies a known location, it will take an action that provides the portable electronic device with additional functionality at the identified known location. Such functionality may include connecting to a wireless network or communicating with a stationary device at the known location.

Abstract: A system and method of providing annotated trajectories by receiving image frames from a video camera and determining a location based on the image frames from the video camera. The system and method can further include the steps of determining that the location is associated with a preexisting annotation and displaying the preexisting annotation. Additionally or alternatively, the system and method can further include the steps of generating a new annotation automatically or based on a user input and associating the new annotation with the current location.

Abstract: The embodiments include systems and methods for guiding a user to capture two flash images of a document page, and selectively fuse the images to produce a binary image of high quality and without loss of any content. Each individual image may have an FSR where the content is degraded/lost due to the flash light. The idea is to first guide the user to take two images such that there is no overlap of flash-spots in the document regions. The flash spots in both images are detected and assessed for quality and extent of degradation in both images. The image with lower degradation is chosen as the primary image and the other image as secondary, to minimize fusing artifacts. The region in secondary image corresponding to the FSR in the primary is aligned to the primary region using a multiscale alignment technique.

Abstract: Methods, systems, and processor-readable media for video anomaly detection based upon a sparsity model. A video input can be received and two or more diverse descriptors of an event can be computed from the video input. The descriptors can be combined to form an event matrix. A sparse reconstruction of the event matrix can be performed with respect to an over complete dictionary of training events represented by the diverse descriptors. A step can then be performed to determine if the event is anomalous by computing an outlier rejection measure on the sparse reconstruction.

Abstract: A mobile electronic device is used to decode a printed correlation mark. The device receives an image of a printed correlation mark, identifies a decoding template, applies the template to detect hidden content within the printed correlation mark, and outputs an image of the detected hidden content on the display. The device may enhance the image before presenting it on the display.

Abstract: A mobile electronic device application uses various hardware parameters for operation. The application leverages calibration data from other users to determine what the parameters should be for the particular device model on which the application is installed. The application queries a cloud-based data store by sending the model and a hardware-variable parameter to the data store. If a value for the parameter is available in the data store, the application will receive it from the data store and use it in operation. If the value is not available, the application will prompt the user to calibrate the application. The application will use the calibration results to identify a setting, and it will send the setting to the data store for use by other instances in which the application is installed on the same model device.

Abstract: Eliminate or reduce the impact of glare in printed information tag recognition applications using single- and multi-pose external illumination coupled with intelligent processing. A shelf imager can acquire shelf images for printed information tag localization and recognition. An external illuminator can provide at least one illumination condition/pose for shelf image acquisition in addition to lighting associated with the enclosed environment. A glare region of interest (ROI) detector can analyze all or a portion of the acquired shelf images for glare to determine whether additional images need to be acquired using different illumination conditions provided by the single- or multi-pose external illuminator or whether full or portion of acquired images need to be analyzed by a printed information tag locator and recognizer. A printed information tag locator and recognizer can analyze all or a portion of the acquired images to localize and recognize data printed on the printed information tags.

Abstract: A mobile electronic device processes a sequence of images to identify and re-identify an object of interest in the sequence. An image sensor of the device, receives a sequence of images. The device detects an object in a first image as well as positional parameters of the device that correspond to the object in the first image. The device determines a range of positional parameters within which the object may appear in a field of view of the device. When the device detects that the object of interest exited the field of view it subsequently uses motion sensor data to determine that the object of interest has likely re-entered the field of view, it will analyze the current frame to confirm that the object of interest has re-entered the field of view.

Abstract: An apparatus, method and non-transitory computer readable medium for mosaicking a plurality of images captured in a low-light condition are disclosed. For example, the apparatus includes an image capturing module, a flash module, a computer-readable medium and a processor. The processor executes a plurality of instructions stored on the computer-readable medium. The operations include determining a spacing between each one of the plurality of images, capturing the plurality of images in accordance with the spacing, aligning the plurality of images that are captured and mosaicking the plurality of images that are aligned into a single image by, for each one of the plurality of images, replacing one or more pixels in the respective flash spot region using one or more pixels in a subsequent image that is in a same location as the respective flash spot region such that the information is recovered.

Abstract: A mobile electronic device application uses various hardware parameters for operation. The application leverages calibration data from other users to determine what the parameters should be for the particular device model on which the application is installed. The application queries a cloud-based data store by sending the model and a hardware-variable parameter to the data store. If a value for the parameter is available in the data store, the application will receive it from the data store and use it in operation. If the value is not available, the application will prompt the user to calibrate the application. The application will use the calibration results to identify a setting, and it will send the setting to the data store for use by other instances in which the application is installed on the same model device.

Abstract: A method and system for reconstructing an image of a scene comprises configuring a digital light modulator according to a spatially varying pattern. Light energy associated with the scene and incident on the spatially varying pattern is collected and optically focused on the photodetectors. Data indicative of the intensity of the focused light energy from each of said at least two photodetectors is collected. Data from the photodetectors is then combined to reconstruct an image of the scene.

Abstract: A method of automatically identifying a border in a captured image may include capturing an image of a target by an image sensor of an electronic device, and, by one or more processors, processing the image to automatically detect a border of the target in the image by applying an automatic border detection method to the image. The method may include presenting the image of the target to a user via a display of the electronic device so that the presented image comprises a visual depiction of the detected border, receiving an adjustment of the border from the user, determining whether to update the default parameters based on the received adjustment, in response to determining to update the default parameters, determining one or more updated parameters for the automatic border detection method that are based on, at least in part, the received adjustment, and saving the updated parameters.

Abstract: A method, non-transitory computer-readable medium, and apparatus for localizing a region of interest using a dynamic hand gesture are disclosed. For example, the method captures the ego-centric video containing the dynamic hand gesture, analyzes a frame of the ego-centric video to detect pixels that correspond to a fingertip using a hand segmentation algorithm, analyzes temporally one or more frames of the ego-centric video to compute a path of the fingertip in the dynamic hand gesture, localizes the region of interest based on the path of the fingertip in the dynamic hand gesture and performs an action based on an object in the region of interest.

Abstract: A method, non-transitory computer-readable medium, and apparatus for adaptive sampling an ego-centric video to extract features for performing an analysis are disclosed. For example, the method captures the ego-centric video, determines a spatio-temporal location of interest within the ego-centric video, applies an adaptive sampling centered around the spatio-temporal location of interest to obtain one or more spatio-temporal patches, extracts one or more features using the one or more spatio-temporal patches and performs an analysis based on the one or more features.

Abstract: A mobile electronic device is used to decode a printed correlation mark. The device receives an image of a printed correlation mark, identifies a decoding template, applies the template to detect hidden content within the printed correlation mark, and outputs an image of the detected hidden content on the display. The device may enhance the image before presenting it on the display.

Abstract: Methods and systems for detecting anomalies in transportation related video footage. In an offline training phase, receiving video footage of a traffic location can be received. Also, in an offline training phase, event encodings can be extracted from the video footage and collected or compiled into a training dictionary. One or more input video sequences captured at the traffic location or a similar traffic location can be received in an online detection phase. Then, an event encoding corresponding to the input video sequence can be extracted. The event encoding can be reconstructed with a low rank sparsity prior model applied with respect to the training dictionary. The reconstruction error between actual and reconstructed event encodings can then be computed in order to determine if an event thereof is anomalous by comparing the reconstruction error with a threshold.

Abstract: A method, non-transitory computer readable medium, and apparatus for training hand detection in an ego-centric video are disclosed. For example, the method prompts a user to provide a hand gesture, captures the ego-centric video containing the hand gesture, analyzes the hand gesture in a frame of the ego-centric video to identify a set of pixels in the image corresponding to a hand region, generates a training set of features from the set of pixels that correspond to the hand region and trains a head-mounted video device to detect the hand in subsequently captured ego-centric video images based on the training set of features.