DETECTED OBJECT TRACKER FOR A VIDEO ANALYTICS SYSTEM

摘要

Techniques are disclosed which provide a detected object tracker for a video analytics system. As disclosed, the detected object tracker provides a robust foreground object tracking component for a video analytics system which allow other components of the video analytics system to more accurately evaluate the behavior of a given object (as well as to learn to identify different instances or occurrences of the same object) over time. More generally, techniques are disclosed for identifying what pixels of successive video frames depict the same foreground object. Logic implementing certain functions of the detected object tracker can be executed on either a conventional processor (e.g., a CPU) or a hardware acceleration processing device (e.g., a GPU), allowing multiple camera feeds to be evaluated in parallel.

主权项

1. A computer-implemented method for tracking foreground objects in a current video frame depicting a scene captured by a video camera, the method comprising:
for at least a first foreground object tracked in a prior video frame depicting the scene:
generating, via a location particle filter (LOPART), a plurality of locations in the current frame to search for the first foreground object, wherein the first foreground object has an associated geometry and has appearance values for a first plurality of pixels depicting the first foreground object in the prior video frame,determining, for each generated location, a measure of similarity between the appearance values of the first plurality of pixels depicting the first foreground object in the prior frame and appearance values for a respective second plurality of pixels in the current frame, andupon determining that one or more of the generated locations have an associated measure of similarity exceeding a given threshold, determining a location of the first foreground object in the current frame based on the determined one or more locations and updating the associated geometry of the first foreground object.