Tracking-Based Automatic Object Recognition
نویسندگان
چکیده
The Problem: While a tracking system is unaware of the identity of any object it tracks, the identity remains the same for the entire tracking sequence. Our system leverages this information by using accumulated joint cooccurrences of the representations within the sequence to create a hierarchical binary-tree classifier of the representations. This classifier is useful to classify sequences as well as individual instances. This work classifies tracked objects based on their shape using the binary motion silhouettes produced by our tracker[5].
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تاریخ انتشار 2001