Abstract:
A configuration system generates a calibration target to be printed, the target including a set of machine-readable and visually-identifiable landmarks and associated location-encoding marks which encode known locations of the landmarks. A plurality of test images of the printed calibration target is acquired by the system from an image capture assembly. Positions of the landmarks in the acquired test images and the location-encoding marks in the acquired test images are detected by the system. The system decodes the locations of the landmarks from the detected location-encoding marks and spatially characterizes the image capture assembly, based on the detected positions of the landmarks in the acquired test images and their decoded known locations.
Abstract:
Methods and devices acquire images using a stereo camera or camera network aimed at a first location. The first location comprises multiple parallel primary lanes merging into a reduced number of at least one secondary lane, and moving items within the primary lanes initiate transactions while in the primary lanes and complete the transactions while in the secondary lane. Such methods and devices calculate distances of the moving items from the camera to identify in which of the primary lanes each of the moving items was located before merging into the secondary lane. These methods and devices then order the transactions in a merge order corresponding to a sequence in which the moving items entered the secondary lane from the primary lanes. Also, the methods and devices output the transactions in the merge.
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 system to detect and maintain retail store promotional price tags (PPTs) includes a heuristic PPT description extractor module, a heuristic rule deriver module, a store shelf image acquisition system, a barcode locator and recognizer module, and a heuristic PPT classifier module. The heuristic PPT description extractor module extracts heuristic descriptions of PPTs. The heuristic rule deriver module derives a set of heuristic parameters for the PPTs. The barcode locator and recognizer module analyzes images acquired by the store shelf image acquisition system to localize and recognize barcodes. The heuristic PPT description classifier module extracts heuristic attributes from the images acquired by the store shelf image acquisition system using the set of PPT parameters supplied by the heuristic rule deriver module.
Abstract:
Hybrid methods, systems and processor-readable media for video and vision based access control for parking occupancy determination. One or more image frames of a parking area of interest can be acquired from among two or more regions of interest defined with respect to the parking area of interest. The regions of interest can be analyzed for motion detection or image content change detection. An image content classification operation can be performed with respect to a first region of interest among the regions of interest based on the result of the image content change detection. An object tracking operation can then be performed with respect to a second region of interest among the regions of interest if the result of the image content classification operation indicates a presence of one or more objects of interest within the parking area of interest.
Abstract:
Methods and systems for training a parked vehicle detector. Video data regarding one or more parking sites can be captured. Positive training samples can then be collected from the video data based on a combination of one or more automated computing methods and human-input auxiliary information. Additionally, negative training samples can be collected from the video data based on automated image analyses with respect to the captured video data. The positive training samples and the negative training samples can then be used to train, re-train or update one or more parked vehicle detectors with respect to the parking site(s) for use in managing parking at the parking site(s).
Abstract:
A system and method for determining parking occupancy by constructing a parking area model based on a parking area, receiving image frames from at least one video camera, selecting at least one region of interest from the image frames, performing vehicle detection on the region(s) of interest, determining that there is a change in parking status for a parking space model associated with the region of interest, and updating parking status information for a parking space associated with the parking space model.
Abstract:
Methods and devices acquire images using a stereo camera or camera network aimed at a first location. The first location comprises multiple parallel primary lanes merging into a reduced number of at least one secondary lane, and moving items within the primary lanes initiate transactions while in the primary lanes and complete the transactions while in the secondary lane. Such methods and devices calculate distances of the moving items from the camera to identify in which of the primary lanes each of the moving items was located before merging into the secondary lane. These methods and devices then order the transactions in a merge order corresponding to a sequence in which the moving items entered the secondary lane from the primary lanes. Also, the methods and devices output the transactions in the merge.
Abstract:
A method, a system, and a computer program product for processing a plurality of electronic documents are provided. The method includes marking at least one area in an electronic document selected from the plurality of electronic documents. The marked at least one area is then matched with corresponding area in the remaining electronic documents of the plurality of electronic documents. A score is computed for each of the remaining electronic documents of the plurality of electronic documents based on the matching. The plurality of electronic documents is then grouped into one or more groups based on the score.
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.