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Object-Tracker is designed for detecting, analyzing, counting and tracking multiple moving objects in crowded environments. Object-Tracker can support or replace human operators in a variety of visual monitoring and tracking tasks. Typical applications are found in the areas of surveillance and safety, process automation, and life- and behavioral sciences. While human eyes can unconsciously perceive independent objects in coherent motion patterns such as crowds, automated systems have difficulty detecting and counting independently moving objects. Object-Tracker is an algorithm that works with a video to detect, count, analyze and track regions of activity in crowds is now available. Object-Tracker selects regions of coherent motion in both time and space, and then identifies sets of tracks that may contain objects of interest. The technology includes an algorithm for identifying a moving object within a series of video images, an image recording device that stores images in a time series, and an image analysis feature configured to execute a program of instructions to identify the object. Object-Tracker's steps include identifying several feature point tracks in which all feature points belonging to the same track are located within a polygon of predefined size. It then calculates a trajectory similarity factor where each similarity is a measure of a maximum distance between two tracks. Object-Tracker is offered as an on-demand cloud based application solution for realtime detecting, analyzing, and counting, multiple moving objects in crowded environments. Benefits
Applications and Industries
Android, iTune versions coming soon.
Price: $1,995.00
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