Multitarget tracking system using texture

Jun Geun Jeon; Young Ho Kim; Goo Man Park; Kyu Tae Park

doi:10.1117/12.263234

10 January 1997 Multitarget tracking system using texture

Jun Geun Jeon, Young Ho Kim, Goo Man Park, Kyu Tae Park

Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263234
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

Abstract

A new method to detect and track non-rigid moving objects against a moving background is presented. In order to discriminate objects from background optical flow based segmentation methods are not appropriate for the case of non-rigid as they have non-uniform optical flow. The proposed method uses optical flow nd texture similarity to discriminate objects from the background. A well-known algorithm from neural networks, Kohonen's self-organizing maps, was adapted to measure the texture similarity.

Citation Download Citation

Jun Geun Jeon, Young Ho Kim, Goo Man Park, and Kyu Tae Park "Multitarget tracking system using texture", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263234

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