Abstract: Disclosed are an object positioning method and an object positioning device based on object detection results of plural stereo cameras. The method comprises a step of obtaining, when each of the plural stereo cameras continuously carries out tracking and detection with respect to each of objects, positional information of the corresponding object; a step of generating, based on the positional information of the corresponding object, a trajectory of the corresponding object; and a step of carrying out a merging process with respect to the trajectories generated corresponding to the plural stereo cameras so as to determine at least one object position.

Abstract: An imaging processing system includes one or more image capturing apparatuses, a reading unit configured to read biometric information from an authentication object person, a similarity calculation unit configured to calculate similarity based on a result of comparing biometric information read by the reading unit with true biometric information of the authentication object person, an authentication unit configured to perform authentication based on a comparison between the similarity calculated by the similarity calculation unit and a preliminarily set threshold, and a control unit configured to control, if the authentication performed by the authentication unit is successful, imaging processing, which is performed by the image capturing apparatus, based on the similarity calculated by the similarity calculation unit.

Abstract: Implementations generally relate to enhancing a video. In some implementations, a method includes classifying one or more objects in one or more frames of the video. The method further includes determining one or more filter parameters of one or more filters based on the classifying of the one or more objects. The method further includes smoothing one or more of the determined filter parameters based on the classifying of the one or more objects. The method further includes applying one or more of the filters with corresponding smoothed filter parameters to one or more frames of the video.

Abstract: An audio-video communication system comprises a wireless exterior module located proximate an entrance, a computerized controller running a software application, and a remote peripheral device. The wireless exterior module includes a proximity sensor for detecting a person at the entrance, a video camera for recording an image of the person at the entrance, a microphone for recording the person at the entrance, a speaker for playing audio to the person at the entrance, a transmitter for communicating sounds and images of the person at the entrance, and a receiver for receiving communications at the wireless exterior module. The computerized controller is disposed in wireless electronic communication with the wireless exterior module via the transmitter and the receiver of the wireless exterior module. The remote peripheral device is configured to electronically communicate with the computerized controller for viewing an image from the video camera communicated from the wireless exterior module.

Abstract: A system may be configured to calculate and use image sharpness results. In some example embodiments, a content-aware image sharpness evaluation scheme is implemented by the system to calculate the degree of sharpness or blur of photographs taken of objects of interest. In certain example embodiments, a calculated sharpness score from the image sharpness evaluation scheme is converted into a score that is meaningful relative to other photographs of the same category as the object depicted in the photograph. In various example embodiments, a mobile-based assistant is configured to provide instant (or near instant) feedback to users uploading photographs using a mobile device. In alternative example embodiments, a web-based assistant is configured to provide instant (or near instant) feedback to users uploading one or more photographs simultaneously to an electronic commerce or marketplace website.

Abstract: In an approach to tracking at least one target subject in a camera network, a search is started to find a target subject on a camera within a camera network. Features are extracted from the target subject and search queries are initiated in other nearby cameras within the camera network. Search queries attempt to detect target subjects and present the finds in a ranked order. Application of aggregate searches in multiple cameras and prior search results are used to improve matching results in the camera network; propagate a search of the target subject to discover the full pathway in the camera network; and project future occurrences of the target subject in subsequent cameras in the camera network.

Abstract: A method comprising, receiving digital-electrical input symbols of a stream of input symbols, the input symbols corresponding to signal points of a symbol constellation. The method also comprises classifying the input symbols, wherein a first symbol class comprises input symbols corresponding to signal points that are variant to rotation of the symbol constellation, and, a second symbol class comprises input symbols corresponding to signal points that are invariant to rotation of the symbol constellation. The method also comprises applying selective differential coding only to those input symbols of the first symbol class.

Abstract: A device for measuring movement of a mobile element moving in at least one direction, includes: a light source adapted to emit a light beam; at least one optical member intercepting the light beam and attached to the mobile element to track its movement; pixel type sensors capturing the transmitted beam determined by the relative position of the optical member relative to the light source, the pixels being disposed so that at least some of them receive illumination that varies with the position of the mobile element as it moves; a comparator module comparing the values obtained from the pixels of the sensors with two distinct thresholds in order to assign some of them a logic value; a calculation module determining the position of the mobile element from the data from the comparator module.

Abstract: A cue point control apparatus used for capturing a display apparatus includes a control unit and a motion detecting unit. The control unit sets a marker while capturing, as a moving image, a presentation performed with displaying an image on a screen of the display apparatus. The motion detecting unit detects a motion of a user performing the presentation. When the control unit determines a set first motion of the user for the marker setting by the detected motion, the control unit sets a temporal marker in a frame of the moving image at a time when determining the first motion during the capturing.

Abstract: In an approach to tracking at least one target subject in a camera network, a search is started to find a target subject on a camera within a camera network. Features are extracted from the target subject and search queries are initiated in other nearby cameras within the camera network. Search queries attempt to detect target subjects and present the finds in a ranked order. Application of aggregate searches in multiple cameras and prior search results are used to improve matching results in the camera network; propagate a search of the target subject to discover the full pathway in the camera network; and project future occurrences of the target subject in subsequent cameras in the camera network.

Abstract: A computer-implemented training system includes a) a plant replica server; b) a virtual environment reproducer; and c) a motion sensing system. The plant replica server has a plant replica associated with a simulated plant model. The virtual environment reproducer is configured to reproduce a virtual environment of the simulated plant model, based on the plant replica. The motion sensing system is configured to sense motions of a field operator in the virtual environment. The motion sensing system is configured to send an update associated with the sensed motions to the plant replica server. The plant replica server is configured to receive the update from the motion sensing system, and to update the plant replica based on the first type of update associated with the sensed motions, and to reflect the first type of update to the virtual environment reproduced by the virtual environment reproducer.

Abstract: In an approach to tracking at least one target subject in a camera network, a search is started to find a target subject on a camera within a camera network. Features are extracted from the target subject and search queries are initiated in other nearby cameras within the camera network. Search queries attempt to detect target subjects and present the finds in a ranked order. Application of aggregate searches in multiple cameras and prior search results are used to improve matching results in the camera network; propagate a search of the target subject to discover the full pathway in the camera network; and project future occurrences of the target subject in subsequent cameras in the camera network.

Abstract: The invention relates to a method of controlling a passive infrared (PIR) sensor, said sensor controlling if an electrical device is on or off, wherein said PIR sensor has at least two sensor elements, each having a lens focusing IR onto them, control electronics comprising of at least one processing unit and one memory, wherein the at least two sensors cover adjacent cover areas, wherein information of detected presence from said at least two sensor elements are used to decrease false triggers by using the time period between subsequent presence detections, and identification of each of said at least two PIR sensor elements.

Abstract: Methods and system are provided for monitoring a queue. A method includes receiving by sensors a non-visual identifier at predefined locations of a queue. Further, the method includes capturing by image capture devices images of an object possessing the non-visual identifier at the predefined locations of the queue. Further, the method includes visually tracking another object in the queue based on transformations of a predefined feature extracted from the images of the object possessing the non-visual identifier at the predefined locations.

Abstract: Semi-automatic (instant) color image segmentation is performed on an input image for an object located near the point given by the user (e.g., touch screen contact). The size, shape, and the number of colors of the target object which is about (lying around or surrounding) the user-selected point is determined, and determinations made for which region the pixels belong to, either foreground or background. A binary object mask is generated which can be utilized for removing the material surrounding that object, or inverting the mask to remove the material of the object.

Abstract: Method for determining the length of a queue of objects in a predefined region having at least one entrance and at least one exit, in the course of which errors in the acquisition of objects entering or exiting the region are corrected during the determination of the length of the queue. In a first step, a specific entry signature E of each object entering the predefined region through the at least one entrance is determined with the aid of at least one first image sensor. Thereafter, the specific entry signature E is stored in an entry list of a calculation unit, each entry signature E being provided with an index value i reflecting the temporal sequence of the entries. In addition, a value L reflecting the length of the queue of the objects is increased by one.

Abstract: For operators of public or commercial buildings, such as supermarkets, it is interesting to determine how many persons, in particular potential buyers, enter the building each day. In other areas, as well, entering and exiting moving objects are counted: it is typical, for example, that cars driving into and out of a parking garage are counted.

Abstract: An audio-video communication system comprises a wireless exterior module located proximate an entrance, a computerized controller running a software application, and a remote peripheral device. The wireless exterior module includes a proximity sensor for detecting a person at the entrance, a video camera for recording an image of the person at the entrance, a microphone for recording the person at the entrance, a speaker for playing audio to the person at the entrance, a transmitter for communicating sounds and images of the person at the entrance, and a receiver for receiving communications at the wireless exterior module. The computerized controller is disposed in wireless electronic communication with the wireless exterior module via the transmitter and the receiver of the wireless exterior module. The remote peripheral device is configured to electronically communicate with the computerized controller for viewing an image from the video camera communicated from the wireless exterior module.

Abstract: A system for transcoding a video signal into a transcoded video signal, includes a high scene cost detection module that detects a high scene cost corresponding to at least one image of the video signal. An encoder section generates the transcoded video signal, wherein, when the high scene cost is detected, an enhanced quality is assigned to at least one central region.

Abstract: Methods and systems are described for providing customized user experiences with media assets created using plenoptic content capture technology. The ability to increase the focus on different objects while the media asset is progressing may allow a user to more easily track the object. Conversely, the ability to decrease the focus on different objects while the media asset is progressing may block, or cloud the display of, the object from being seen by a user.

Abstract: A method and apparatus for invoking a High Dynamic Range (“HDR”) mode in a camera are disclosed. The method comprises detecting that the camera is operating in a preview mode. The method further comprises determining a dynamic range, Auto Exposure (“AE”) metadata, and a motion level associated with a plurality of frames captured in the preview mode. Finally, the method comprises invoking the HDR mode when each of the determined dynamic range, the AE metadata, and the motion level is above a first threshold value, a second threshold value, and a third threshold value, respectively.

Abstract: Techniques are disclosed for creating a background model of a scene using both a pixel based approach and a context based approach. The combined approach provides an effective technique for segmenting scene foreground from background in frames of a video stream. Further, this approach can scale to process large numbers of camera feeds simultaneously, e.g., using parallel processing architectures, while still generating an accurate background model. Further, using both a pixel based approach and context based approach ensures that the video analytics system can effectively and efficiently respond to changes in a scene, without overly increasing computational complexity. In addition, techniques are disclosed for updating the background model, from frame-to-frame, by absorbing foreground pixels into the background model via an absorption window, and dynamically updating background/foreground thresholds.

Abstract: A method of video operations includes generating derivative byproducts related to encoded video captured of a scene, initializing a first operation based on the encoded video, and initializing a second operation different from the first operation based on the derivative byproducts.

Abstract: An image obtaining apparatus and an image obtaining method are provided. The image obtaining apparatus including a light source configured to generate excitation light causing a fluorescent label of a biological sample to emit light; an image sensor; an optical system configured to cause the image sensor to form a fluorescent image of the partial area of the biological sample; a movement control unit; a generation unit configured to continuously expose the image sensor during the movement of the focal position of the optical system, and to generate a long-time exposed image of the partial area; and a calculation unit configured to analyze a frequency of the generated long-time exposed image, and to calculate positional information in the optical axis direction of the fluorescent label by using at least results of the analysis.

Abstract: A method is provided that includes receiving from a camera, video depicting a scene having a center bounded by first and second horizontal edges. The scene also includes an identified object of interest (OI) having a region around the identified OI and a motion vector representing a location, and an amount and at least a horizontal direction of movement. The method also includes calculating from the location of the identified OI, a distance of the identified OI from either or both of the horizontal edges of the scene, and in which the first horizontal edge is in the horizontal direction of movement and the second horizontal edge is opposite the horizontal direction of movement. And the method includes causing an increase or decrease in speed of the camera in the horizontal direction of movement based on location of the identified OI relative to the first/second horizontal edges.

Abstract: Multi-mode video event indexing includes determining a quality of object distinctiveness with respect to images from a video stream input. A high-quality analytic mode is selected from multiple modes and applied to video input images via a hardware device to determine object activity within the video input images if the determined level of detected quality of object distinctiveness meets a threshold level of quality, else a low-quality analytic mode is selected and applied to the video input images via a hardware device to determine object activity within the video input images, wherein the low-quality analytic mode is different from the high-quality analytic mode.

Abstract: An apparatus for extracting image data of an object in an input image data. The apparatus includes a display device having a display screen for displaying a plurality of predetermined images; a display controller for controlling the display device to display one of the predetermined images; an imaging device for taking an image of an object placed before the display screen in order to generate an input image data; a controller for controlling the imaging device to take an image of the object and the display screen when the display device displays one of the predetermined images in cooperation with the display controller; and an extractor for extracting image data of the object by comparing the input image data generated by imaging device with data of the one of the plurality of the predetermined images.

Abstract: An automated method and system for detecting the presence of a smoking product utilizing a near infrared video-processing unit in real time. One or more near infrared (NIR) video capturing units can be configured to capture a video feed. The video feed can be processed by the video-processing unit in order to detect a smoking product (e.g., a lit cigarette) within a field of view of the video capturing unit. A near infrared video sequence can be read and analyzed for the presence of a “hot spot” of a predetermined size based on pixel color information. In some cases, the motion of the hot spot can be tracked in response to the detection of the hot spot. An alarm signal can also be triggered in some cases, if the pattern of motion is consistent with that of a cigarette being smoked.

Abstract: A monitoring device is provided with a person image analyzer which has a person detector which detects a person from captured moving images and acquires positional information which relates to a person area, and an area state determinator which determines an area state which indicates the state of people in the person area based on the positional information, a mask image setter which sets the mask image which corresponds to the area state, and a moving image output controller which generates and outputs output moving images where the person area is changed to the mask image which corresponds to the area state based on the positional information and the area state which are output from the person image analyzer.

Abstract: The invention discloses an image processing method and an imager processing apparatus using the same. The method includes the following steps: receiving an training image; finding a minimum difference among the differences; determining whether the minimum difference is larger than a first threshold; if no, generating a first output value according to the first pixel, the background candidates and a plurality of weightings corresponding to the background candidates; updating a first background candidate corresponding to the minimum difference; updating a first weighting related to the first background candidate; if yes, adding the first pixel as a new background candidate to the background candidates and adding a new weighting corresponding to the new background candidate to the weightings; and detecting whether a moving object existing in an incoming image according to the background candidates and the weightings.

Abstract: An improved method and a system are disclosed for recovering a three-dimensional (3D) scene structure from a plurality of two-dimensional (2D) image frames obtained from imaging means. Sets of 2D features are extracted from the image frames, and sets corresponding to successive image frames are matched, such that at least one pair of matched 2D features refers to a same 3D point in a 3D scene captured in 2D in the image frames. A 3D ray is generated by back-projection from each 2D feature, and the generated 3D rays are subjected to an anchor-based minimization process, for determining camera motion parameters and 3D scene points coordinates, thereby recovering a structure of the 3D scene.

Abstract: A motion capture simulation system can include a capture volume. A participant disposed in the capture volume can be motion captured and immersed into a virtual environment. The virtual environment may be larger in size than the capture volume. In the virtual environment, the participant may be represented by an avatar. The avatar in the virtual environment can be moved in a first direction based on a motion of the participant in the first direction in the capture volume. As the participant moves in the first direction in the capture volume, the participant may approach a boundary of the capture volume, while the participant's avatar may have space to move further in the first direction in the larger virtual environment. Approaching the boundary, the participant can change direction, for example turning around to avoid the boundary. The redirected participant can continue driving the avatar to move in the first direction.

Abstract: An embodiment of a video monitoring system has at least one video camera directed at a detection system for obtaining video of the detection system. The detection system has a light source. A controller is coupled to the at least one video camera. The controller is configured to determine that the light source illuminates from the video of the detection system obtained by the at least one video camera. The controller is further configured to indicate an alarm in response to determining that the light source illuminates.

Abstract: Video processing comprises storing data relating to images of a video signal captured over at least a reference period relative to a current image of the video signal; comparing the current image with a reference image of the video signal captured within the reference period, so as to detect image features in the current image representing changes with respect to a corresponding position in the reference image; detecting whether a detected image feature in the current image has remained at substantially the same image position over a group of images preceding the current image; and displaying the current image with an indication of any such image features and an indication of the duration of the presence of the image feature at that image position.

Abstract: In a particular embodiment, an apparatus includes a first sensor that has an active mode and a dormant mode. When operating in the active mode, the first sensor has a first power consumption level. The apparatus further includes a second sensor that has a second power consumption level that is less than the first power consumption level (i.e., the power consumption level of the first sensor). The second sensor is deactivated when the first sensor is operating in the active mode. The apparatus includes logic to activate the second sensor when the first sensor transitions from the active mode to the dormant mode.

Abstract: An automatic tracking camera system includes: a rotating unit for panning and tilting an image pickup unit including a lens apparatus and an image pickup apparatus; a tracking object detector; a motion vector detector for detecting a motion vector of the object to be tracked; a capture position setting unit for setting a capture position of the object to be tracked in the picked up image; and a controller for controlling drive of the rotating unit. The controller controls the rotating unit in a capture mode to capture the object to be tracked at the capture position based on the motion vector detected by the motion vector detector after the tracking object detector has detected the object to be tracked in the picked up image, and a maintenance mode to continuously capture the object to be tracked at the capture position after the capture mode.

Abstract: A motion-capture system is provided. The motion-capture system includes a host computing system and a plurality of motion-capture cameras that are operatively coupled with the host computing system. Each of the motion-capture cameras is disposed in a different location and orientation relative to a motion-capture space and includes a marker-tracking optical filter to provide a marker-tracking mode and thereby relatively enhance light from markers on a moving body in the motion-capture space. One or more of the motion-capture cameras is remotely controllable to selectively interchange the marker-tracking optical filter with a scene-view optical component, so as to selectively transition the motion-capture camera between the marker-tracking mode and a scene mode, in which light from the markers is less enhanced than in the marker-tracking mode.

Abstract: In general, embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for detecting possible traffic violations of vehicles. For example, in one embodiment, this may include receiving an indication that a school bus has entered or is entering a stopped position. After receiving an indication that the school bus has entered or is entering the stopped position, an area proximate the school bus can be monitored to detect possible traffic violations.

Abstract: Video tracking systems and methods include a peripheral master tracking process integrated with one or more tunnel tracking processes. The video tracking systems and methods utilize video data to detect and/or track separately several stationary or moving objects in a manner of tunnel vision. The video tracking system includes a master peripheral tracker for monitoring a scene and detecting an object, and a first tunnel tracker initiated by the master peripheral tracker, wherein the first tunnel tracker is dedicated to track one detected object.

Abstract: In a gesture-based system, gestures may control aspects of a computing environment or application, where the gestures may be derived from a user's position or movement in a physical space. Gesture recognition data, used to recognize gestures from captured data representative of a user's input gestures, may be evolved based on captured data from a plurality of users. A common set or default set of gesture recognition data may be evolved by selecting a plurality of users for tracking. Captured data of the plurality of users may be processed to identify input gesture data for the plurality of users, and the gesture recognition data may be evolved based on features of the input gesture data that is common to multiple users. The evolved gesture recognition data may be implemented not only for the users tracked, but for users not tracked. An identifier may identify when the evolved gesture recognition data applies and implement the evolved gesture recognition data when the identifier is present.

Abstract: A motion detection method is provided. The method includes steps of: recording an input video, extracting a reference frame from the input video in every reference updating cycle, extracting a target frame from the input video and determining whether an event occurs by comparing the target frame with the reference frame in every checking cycle, and comparing the number of events accumulated in every observation cycle with a threshold to determine whether the input video contains a motion during the observation cycle.

Abstract: A display apparatus is provided, which includes a motion recognition unit which recognizes a motion of an object that is located outside the display device, and a control unit which, when the motion of the object is recognized, determines a change amount that varies according to a motion speed or a motion distance of the object, and performs an operation which corresponds to the motion of the object according to the change amount. Accordingly, channel change or page shift can be easily performed.

Abstract: A battery-powered camera is mounted within the interior of a suitcase. The camera has an awake mode in which the camera captures a plurality of images in response to it being detected that the suitcase is in an open position. A controller switches the camera from a sleep mode to the awake mode in response to the user actuating an awake mode switch, a motion detector mounted to the suitcase detecting motion of the suitcase, and/or a touch sensor mounted to the suitcase detecting a human being touching the suitcase.

Abstract: A system and method for the capture and storage of data relating to the movements of objects, in a specified area and enables this data to be displayed in a graphically meaningful and useful manner. Video data is collected and video metadata is generated relating to objects (persons) appearing in the video data and their movements over time. The movements of the objects are then analyzed to detect the movements within a region of interest. This detection of movement allows a user, such as a manager of a store, to make informed decisions as to the infrastructure and operation of the store. One detection method relates to the number of people that are present in a region of interest for a specified time period. A second detection method relates to the number of people that remain or dwell in a particular area for a particular time period. A third detection method determines the flow of people and the direction they take within a region of interest.

Abstract: A sequence of images received from a camera is recorded according to a first procedure. The images are analyzed to identify events of interest, and upon identifying an event of interest, an area of interest of a plurality of said images is identified. The identified area is recorded according to a second procedure.

Abstract: Systems and methods are disclosed that include a video-based analysis system that detects, tracks and archives vehicles in video stream data at multiple resolutions. The system includes an image capturing device that captures video stream data having video at a first high resolution. A vehicle detection module detects at least one vehicle within the video. A vehicle analysis module is configured to analyze the video and to extract one or more key vehicle features from the video to enable identification of a vehicle of interest (VOI) according to a set of predetermined criteria. A subsampling module creates a reduced resolution video stream in a second subsampled resolution that is lower than the first high resolution while maintaining the one or more extracted key features within the reduced resolution video stream in the first high resolution, and archives the reduced resolution video stream into a video database.

Abstract: An Engineer's View (EV) wireless video system for powered and unpowered model railroad engines is disclosed. The invention uses commercially available wireless spy cameras, powered by a custom power supply circuit which is compatible with either DC or DCC track systems. The present invention is compatible with all commercial model railroad gauge diesel engines including HO and N Gauge or may be factory installed. The EV system demonstrates a remarkably stable and realistic image of a model railroad layout. Moreover, the present invention may also provide a stable source of power to the engine where stalling could occur at points of track defects.

Abstract: Zoom illumination system for use with closed circuit TV cameras in applications requiring long distance illumination, such as surveillance and night vision. The system includes multiple strings of LEDs, which may have additional lenses, with each LED string capable of providing illumination for a predetermined viewing angle. The LED strings can be switched on and off to provide illumination as desired.

Abstract: Graphical output representing the activity of a plurality of monitoring detection devices over a region is displayed. The detection devices are represented as an array of regular polygons in an arrangement substantially analogous to the monitored region, and a characteristic of the graphical output is adjusted within a displayed polygon by a degree dependent upon the level of activity detected by its respective detection device.

Abstract: The image control unit (51) controls the image capture unit (17) so as to acquire data of captured images successively. The shading correction unit (61) performs the shading correction on the data of captured images captured successively. The moving object detection accuracy control unit (101) controls a detection accuracy of a moving object on each data set of captured images on which the shading correction is performed. The combination unit (66) sets a combination ratio corresponding to a detection result of a moving object with an accuracy controlled by the moving object detection accuracy control unit (101), and generates data of a composite image by combining each data set of captured images captured successively by the image capture control unit (51) with this combination ratio.