Moving target classification and tracking from real-time video
Published: Nov 27, 2002
Abstract
This paper describes an end-to-end method for extracting moving targets from a real-time video stream, classifying them into predefined categories according to image-based properties, and then robustly tracking them. Moving targets are detected using the pixel wise difference between consecutive image frames. A classification metric is applied these targets with a temporal consistency constraint to classify them into three categories: human,...
Paper Details
Title
Moving target classification and tracking from real-time video
Published Date
Nov 27, 2002
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