A Real-Time System for Classification of Moving Objects

Ehud Rivlin, Michael Rudzsky, Roman Goldenberg, U. Bogomolov, S. Lepchev

Abstract: 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 movie database including more than 100 image sequences showing people, animals, vehicles and plants in motion. The SVM classifier was used in our system, yielding very good classification results.