Abstract: A method for detecting a double-parked vehicle includes identifying a parking region in video data received from an image capture device monitoring the parking region. The method includes defining an enforcement region at least partially surrounding the parking region. The method includes detecting a stationary vehicle in the enforcement region. The method includes determining the occurrence of an event relative to the stationary vehicle. In response to the determined occurrence of the event, the method includes classifying the stationary vehicle as being one of double parked and not double parked.

Abstract: A method, non-transitory computer readable medium and apparatus for performing a person re-identification using an overhead view image are disclosed. For example, the method includes receiving a plurality of overhead view images, detecting a target person in one or more of the plurality of overhead view images, creating a probe image of the target person, receiving a selection of the probe image containing the target person, selecting one or more of the plurality of processed images that has a similar distortion profile as a distortion profile of the probe image based on a radial distance of the target person from a center of a respective overhead view image of the plurality overhead view images used to generate the probe image and performing the person-re-identification of the target person using the one or more of the plurality of processed images that are selected.

Abstract: A system and method to identify the leader of a group in a retail, restaurant, or queue-type setting (or virtually any setting) through recognition of payment gestures. The method comprises acquiring initial video of a group, developing feature models for members of the group, acquiring video at a payment location, identifying a payment gesture in the acquired video, defining the person making the gesture as the leader of the group, and forwarding/backtracking through the video to identify timings associated with leader events (e.g., entering, exiting, ordering, etc.).

Abstract: A system for estimating parking occupancy includes a vehicle-detection device including an adjustable mast supporting an image capture device at a select height. The image capture device acquires video of a current parking area. A computer processor in communication with the image capture device is configured to receive the video data and define a region of interest in the video data. The processor is further configured to perform a spatial transform on the ROI to transform the ROI to a normalized geometric space. The processor is further configured to apply features of a detected object in the normalized geometric space to a vehicle classifier—previously trained with samples acquired from a normalized camera perspective similar to the normalized geometric space—and determine the occupancy of the current parking area using an output of the classifier.

Abstract: A system and method for detecting customer drive-off/walk-off from a customer queue. An embodiment includes acquiring images of a retail establishment, said images including at least a portion of a customer queue region, determining a queue configuration within the images, analyzing the images to detect entry of a customer into the customer queue, tracking a customer detected in the customer queue as the customer progresses within the queue, analyzing the images to detect if the customer leaves the customer queue, and generating a drive-off notification if a customer leaves the queue.

Abstract: Disclosed is a method and system for generating redacted video of a scene captured using a video camera and augmenting a manual review process of the redacted video of the scene. According to an exemplary embodiment, a video of the scene is redacted via probability-based analysis to detect and obscure privacy sensitive objects included in the captured video. A manual review process of the generated redacted video is augmented to use the object detection probability to enhance the reviewing video frame rate to expedite the manual review process.

Abstract: Disclosed is a method and system for detecting an interaction event between two or more objects in a surveillance area, via the application of heuristics to trajectory representations of the static or dynamic movements associated with the objects. According to an exemplary embodiment, trajectory interaction features (TIFs) are extracted from the trajectory representations and heuristics are applied to the TIFs to determine if an interaction event has occurred, such as a potential illegal drug deal involving at least one pedestrian and at least one vehicle.

Abstract: Systems and methods are proposed for non-contact monitoring of spatio-temporal mechanics comprising motion patterns of respiratory muscles, lungs and diaphragm. The depth capable sensors system is comprised of modules, including a depth estimation module, a reference shape generation module, a region of interest shape estimation module, and a shape comparison module. A recommender module is optionally included. The acquisition of spatio-temporal respiratory mechanic data comprising a time varying sequence of spatially dependent representations of the respiratory mechanics of the subject are processed for identifying differences between the subject's actual respiratory mechanics and desired mechanics that can improve the health of the subject, or identify particular maladies.

Abstract: A computer-vision based method for validating an activity workflow of a human performer includes identifying a target activity. The method includes determining an expected sequence of actions associated with the target activity. The method includes receiving a video stream from an image capture device monitoring an activity performed by an associated human performer. The method includes determining an external cue in the video stream. The method includes associating a frame capturing the external cue as a first frame in a key frame sequence. The method includes determining an action being performed by the associated human performer in the key frame sequence. In response to determining the action in the key frame sequence matching an expected action in the target activity, the method includes verifying the action as being performed in the monitored activity.

Abstract: Disclosed is a method and system for generating redacted video of a scene captured using a video camera and augmenting a manual review process of the redacted video of the scene. According to an exemplary embodiment, a video of the scene is redacted via probability-based analysis to detect and obscure privacy sensitive objects included in the captured video. A manual review process of the generated redacted video is augmented to use the object detection probability to enhance the reviewing video frame rate to expedite the manual review process.

Abstract: A method, non-transitory computer readable medium and apparatus for performing a person re-identification using an overhead view image are disclosed. For example, the method includes receiving a plurality of overhead view images, detecting a target person in one or more of the plurality of overhead view images, creating a probe image of the target person, receiving a selection of the probe image containing the target person, selecting one or more of the plurality of processed images that has a similar distortion profile as a distortion profile of the probe image based on a radial distance of the target person from a center of a respective overhead view image of the plurality overhead view images used to generate the probe image and performing the person-re-identification of the target person using the one or more of the plurality of processed images that are selected.

Abstract: Disclosed is a method and system for detecting an interaction event between two or more objects in a surveillance area, via the application of heuristics to trajectory representations of the static or dynamic movements associated with the objects. According to an exemplary embodiment, trajectory interaction features (TIFs) are extracted from the trajectory representations and heuristics are applied to the TIFs to determine if an interaction event has occurred, such as a potential illegal drug deal involving at least one pedestrian and at least one vehicle.

Abstract: A method for enforcing traffic signal compliance includes acquiring a series of temporal related image frames including a target area. Each image frame includes pixel data representative of the target area. The method includes generating one or more motion vectors between two or more of the image frames. The motion vectors are the type produced by compressing the pixel data associated with the two or more image frames. The method includes associating a cluster of motion vectors with a vehicle. The method further includes tracking a position of the vehicle across the two or more image frames. Using the tracking results, the method includes determining whether the vehicle stops in the target area. For the vehicle being determined as not stopping, the method includes signaling an occurrence of noncompliance.

Abstract: Systems, methods, apparatus, and computer-implemented methods are provided for determining a camera calibration. The method includes accessing video data for a geographic area captured by a video camera. The video data is processed to detect a plurality of moving vehicles in the video data. A detection area is defined based on the plurality of moving vehicles. A plurality of line segments are identified for each of the plurality of vehicles detected in the video data. A plurality of vanishing points are estimated based on at least a subset of the plurality of line segments. A camera calibration is determined based on the plurality of vanishing points.

Abstract: This disclosure provides a method and system for automatically recognizing facial expressions at variable resolutions of video. According to one exemplary method, facial expressions are detected, extracted and classified from a video sequence based on an automatic localization of the periocular region associated with a detected and extracted face.

Abstract: A method for gait analysis of a subject performed periodically over time to detect changes in one or more gait characteristics. The method includes detecting and identifying a subject and analyzing the gait of the subject on a plurality of occasions. Analyzing the gait of the subject includes, a detecting body parts, generating a joint model depicting the location of the at least one joint in each of the at least two frames, using the joint model to segment a gait cycle for the at least one joint, and comparing the gait cycle to a threshold value to detect abnormal gait.

Abstract: A computer-implemented system and method for gait analysis of a subject. The method includes obtaining visual data from an image capture device positioned in front of or behind the subject, the plurality of image frames capturing at least one gait cycle of the gait of the subject, detecting one or more prescribed features within the plurality of image frames, analyzing each of the plurality of image frames to detect cross-frame stability of the one or more prescribed features, and segmenting the gait of the subject into at least one gait cycle based at least in part on the detected cross-frame stability of the one or more prescribed features.

Abstract: Disclosed is a method and system for detecting an interaction event between two or more objects in a surveillance area, via the application of heuristics to trajectory representations of the static or dynamic movements associated with the objects. According to an exemplary embodiment, trajectory interaction features (TIFs) are extracted from the trajectory representations and heuristics are applied to the TIFs to determine if an interaction event has occurred, such as a potential illegal drug deal involving two or more pedestrians.

Abstract: Disclosed is a method and system for detecting an interaction event between two or more objects in a surveillance area via the application of heuristics to trajectory representations of the static or dynamic movements associated with the objects. According to an exemplary embodiment, trajectory interaction features (TIFs) are extracted from the trajectory representations and heuristics are applied to the TIFs to determine if an interaction event has occurred, such as a potential mugging involving two or more pedestrians.

Abstract: Disclosed is a method and system for detecting an interaction event between two or more objects in a surveillance area via the application of heuristics to trajectory representations of the static or dynamic movements associated with the objects. According to an exemplary embodiment, trajectory interaction features (TIFs) are extracted from the trajectory representations and heuristics are applied to the TIFs to determine if an interaction event has occurred, such as a potential mugging involving two or more pedestrians.