A Real-Time System for Classification of Moving Objects

Authors:
E. Rivlin;M. Rudzsky;R. Goldenberg;U. Bogomolov;S. Lepchev
Affiliations:
-;-;-;-;-
Venue:
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 3 - Volume 3
Year:
2002

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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 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.