Abstract: Provided is a method and system of tracking partially occluded objects using an elastic deformation model. According to an exemplary method and system, partially occluded vehicles are detected and tracked in a scene including side-by-side drive-thru lanes.

Abstract: A method for updating an event sequence includes acquiring video data of a queue area from at least one image source; searching the frames for subjects located at least near a region of interest (ROI) of defined start points in the video data; tracking a movement of each detected subject through the queue area over a subsequent series of frames; using the tracking, determining if a location of the a tracked subject reaches a predefined merge point where multiple queues in the queue area converge into a single queue lane; in response to the tracked subject reaching the predefined merge point, computing an observed sequence of where the tracked subject places among other subjects approaching an end-event point; and, updating a sequence of end-events to match the observed sequence of subjects in the single queue lane.

Abstract: This disclosure provides a method and system for automated sequencing of vehicles in side-by-side drive-thru configurations via appearance-based classification. According to an exemplary embodiment, an automated sequencing method includes computer-implemented method of automated sequencing of vehicles in a side-by-side drive-thru, the method comprising: a) an image capturing device capturing video of a merge-point area associated with multiple lanes of traffic merging; b) detecting in the video a vehicle as it traverses the merge-point area; c) classifying the detected vehicle associated with traversing the merge-point area as coming from one of the merging lanes; and d) aggregating vehicle classifications performed in step c) to generate a merge sequence of detected vehicles.

Abstract: Provided is a method and system for efficient localization in still images. According to one exemplary method, a sliding window-based 2-D (Dimensional) space search is performed to detect a parked vehicle in a video frame acquired from a fixed parking occupancy video camera including a field of view associated with a parking region.

Abstract: Methods and systems receive a series of images and compare at least two of the images in the series of images to locate items that are in different positions to identify moving items. Such methods and systems further calculate a measure of the moving items within the series of images. Additionally, such methods and systems perform a continuously variable image correction to remove the moving items from the images to produce a series of corrected images. This “continuously variable image correction” increases the amount of image correction for a relatively higher measure of the moving items and decreases the amount of image correction for a relatively lower measure of the moving items, and does so continuously as the measure of the moving items changes within the series of images.

Abstract: A method and structure for estimating parking occupancy within an area of interest can include the use of at least two image capture devices and a processor (e.g., a computer) which form at least part of a network. A method for estimating the parking occupancy within the area of interest can include the use of vehicle entry and exit data from the area of interest, as well as an estimated transit time for vehicles transiting through the area of interest without parking.

Abstract: A system and method for detecting electronic device use by a driver of a vehicle including acquiring an image including a vehicle from an associated image capture device positioned to view oncoming traffic, locating a windshield region of the vehicle in the captured image, processing pixels of the windshield region of the image for computing a feature vector describing the windshield region of the vehicle, applying the feature vector to a classifier for classifying the image into respective classes including at least classes for candidate electronic device use and candidate electronic device non-use, and outputting the classification.

Abstract: A method for training a vehicle detection system used in a street occupancy estimation of stationary vehicles. The method includes defining first and second areas on an image plane of an image capture device associated with monitoring for detection of vehicles. The method includes receiving video-data from a sequence of frames captured from the image capture device. The method includes determining candidate frames that include objects relevant to a classification task in the second area. The method includes extracting the objects from the candidate frames, extracting features of each extracted object, and assigning labels to the each extracted object. The method includes training at least one classifier using the labels and extracted features. The method includes using the at least one trained classifier to classify a stationary vehicle detected in the first area.

Abstract: A method and system for on-street vehicle parking occupancy estimation via curb detection comprises training a computer system to identify a curb, evaluating image data of the region of interest to determine a region wherein a curb is visible in said region of interest, and estimating a parking occupancy of said region of interest according to said region where said curb is visible.

Abstract: A new framework for extending monochrome barcodes to color which offers higher data rates is described. In one embodiment of the present invention, the framework encodes independent data in each of the cyan, magenta, and yellow print colorant channels commonly used in color printing and decodes the data from each of the complementary red, green, and blue channels in capture color channels. The framework effectively increases the capacity of monochrome barcodes by a factor of three. In another embodiment of the present invention, a physical model based approach mitigates the effect of cross-channel interference among the print-colorant channels and capture color channels. In another embodiment of the invention, a pilot block methodology is used to estimate the model parameters and enable cross-channel interference cancellation. In another embodiment of the invention, an expectation maximization (EM)-type methodology estimates the model parameters and enables cross-channel interference cancellation.

Abstract: This disclosure provides vehicle detection methods and systems including irrelevant search window elimination and/or window score degradation. According to one exemplary embodiment, provided is a method of detecting one or more parked vehicles in a video frame, wherein candidate search windows are limited to one or more predefined window shapes. According to another exemplary embodiment, the method includes degrading a classification score of a candidate search window based on aspect ratio, window overlap area and/or a global maximal classification.

Abstract: A method for determining parking availability includes receiving video data from a sequence of frames taken from an image capture device monitoring a parking area. The method includes detecting at least one object located in the parking area. The method includes determining boundaries of the parking area. The boundaries include at least an inner boundary relative to the image capture device and an outer boundary relative to the image capture device. The outer boundary is substantially parallel to the inner boundary. The method further includes computing a length of at least one of the object and a space between objects using an object pixel for each of the inner and outer boundaries. Using the computed length, The method includes determining a parking availability in the parking area. The method includes outputting a notice of the parking availability to a user.

Abstract: This disclosure provides methods and systems for form a trajectory of a moving vehicle captured with an image capturing device. According to one exemplary embodiment, a method forms a trajectory of a moving vehicle and determines if the vehicle is moving in one of a permitted manner and an unpermitted manner relative to the appropriate motor vehicle lane restriction laws and/or regulations.

Abstract: Disclosed are methods and systems for detecting one or more vehicles in video captured from a deployed video camera directed at a parking region. According to one exemplary embodiment, disclosed is a method of training a deployed classifier associated with the video camera, where a generic classifier is initially used to obtain high confidence training samples from the video camera, the high confidence training samples subsequently used to train the deployed classifier.

Abstract: An image assisted parking space availability searching and reservation method and system. An image capturing unit can be deployed onsite (e.g., parking lot, street side parking, etc.) to monitor parking spaces/spots. A parking space detection and reservation module can be configured in association with a mobile communications device to assist in the detection and selection of particular spaces. A destination street(s) can be located via a web browser installed associated with the mobile communications device. An IP address of the image-capturing unit monitoring the parking space can be obtained and a snapshot image/video of the street can be displayed. The captured video can be processed in real-time to report parking availability with respect to the street(s) and a parking space reserved.

Abstract: A computer-implemented method, system, and computer-readable medium is disclosed for determining an estimated available parking distance for a vehicle via vehicle side detection in one or more image frames from an operational video. The operational video can be acquired from a fixed parking occupancy video camera and can include a field of view associated with a parking region. The method can include obtaining operational video from a fixed parking occupancy video camera; detecting, within a region of interest (ROI) of the one or more image frames from the operational video, a side of one or more vehicles parked in a parking region facing a traffic lane using a trained classifier that is trained to detect the side of the one or more vehicles; and determining an estimated available parking distance based on the side of the one or more vehicles that are detected.

Abstract: A method for detecting parking occupancy includes receiving video data from a sequence of frames taken from an associated image capture device monitoring a parking area. The method includes determining at least one candidate region in the parking area. The method includes comparing a size of the candidate region to a size threshold. In response to size of the candidate region meeting and exceeding the size threshold, the method includes determining whether the candidate region includes one of at least one object and no objects. The method includes classifying at least one object in the candidate region as belonging to one of at least two vehicle-types. The method further includes providing vehicle occupancy information to a user.

Abstract: In implementation, a computer-implemented method, a system, and a non-transitory computer readable medium for managing parking space availability in a parking zone is disclosed. The computer-implemented method includes obtaining a request for a parking reservation for a parking space in a parking zone for a vehicle from a client device, wherein the client device is associated with a user, a vehicle, or both the user and the vehicle; determining that a parking space is available in the parking zone for the vehicle; and providing the parking reservation to the client device.

Abstract: Methods and systems receive a series of images and compare at least two of the images in the series of images to locate items that are in different positions to identify moving items. Such methods and systems further calculate a measure of the moving items within the series of images. Additionally, such methods and systems perform a continuously variable image correction to remove the moving items from the images to produce a series of corrected images. This “continuously variable image correction” increases the amount of image correction for a relatively higher measure of the moving items and decreases the amount of image correction for a relatively lower measure of the moving items, and does so continuously as the measure of the moving items changes within the series of images.

Abstract: This disclosure provides methods and systems of classifying a vehicle using motion vectors associated with captured images including a vehicle. According to an exemplary method, a cluster of motion vectors representative of a vehicle within a target region is analyzed to determine geometric attributes of the cluster and/or measure a length of a detected vehicle, which provides a basis for classifying the detected vehicle.