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Detection of moving objects in video using a robust motion similarity measure

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3 Author(s)
Nguyen, H.T. ; Fac. of WINS, Amsterdam Univ., Netherlands ; Worring, M. ; Dev, A.

This correspondence deals with the segmentation of a video clip into independently moving visual objects. This is an important step in structuring video data for storage in digital libraries. The method follows a bottom-up approach. The major contribution is a new well-founded measure for motion similarity leading to a robust method for merging regions. The improvements with respect to existing methods have been confirmed by experimental results

Published in:

Image Processing, IEEE Transactions on  (Volume:9 ,  Issue: 1 )