A Real-Time System for Classification of Moving Objects

نویسندگان

  • Ehud Rivlin
  • Michael Rudzsky
  • Roman Goldenberg
  • U. Bogomolov
  • S. Lepchev
چکیده

The paper describes a system for moving object classification. Being restricted by real-time system constraints we found a small set of features, characterizing object shape and motion dynamics. The system was tested on a large movies database including more than 100 images sequences showing people, animals, vehicles and plants in motion. The SVM classifier [1] was used in our system, yielding very good classification results.

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تاریخ انتشار 2002