Object-Tracker an algorithm that works with cctv video to detect, count, analyze and track regions of activity in crowds is now available.
Object-Tracker is designed for detecting, analyzing, counting and tracking multiple moving objects in crowded environments.
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 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.
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
Can automatically locate and count objects in high-density crowds with accuracy.
Overcomes some of the difficulties in detecting individual objects that move in unison
Requires no complex shape or appearance models to select objects
Applications and Industries
Detecting and counting any type of moving object
Estimating crowd size for event management and planning
Support for analyses requiring counts of moving objects, such as in medical analysis