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18th International Conference on Pattern Recognition (ICPR'06) Volume 1
Detection and Recognition of Moving Objects by Using Motion Invariants
Hong Kong
August 20-August 24
ISBN: 0-7695-2521-0
Satoshi Ito, University of Tokyo
Nobuyuki Otsu, National Institute of Advanced Industrial Science and Technology, Japan
Motion invariant features, which are called either absolute or relative invariant linear features, are useful for detection and recognition of moving objects from image streams. We conducted simple experiments using these invariant features. The first experiment tested our method for moving object recognition with a fixed camera using absolute invariant linear features. In the second experiment, another method was used to detect moving objects with a moving camera using both relative and absolute invariant linear features. The results of these experiments confirmed the effectiveness of the proposed methods.
Citation:
Satoshi Ito, Nobuyuki Otsu, "Detection and Recognition of Moving Objects by Using Motion Invariants," icpr, vol. 1, pp.683-686, 18th International Conference on Pattern Recognition (ICPR'06) Volume 1, 2006
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