Online multiple support instance tracking

Qiu Hong Zhou, Huchuan Lu, Ming Hsuan Yang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

36 Citations (Scopus)

Abstract

We propose an online tracking algorithm in which the support instances are selected adaptively within the multiple instance learning framework. The support instances are selected from training 1-norm support vector machines in a feature space, thereby learning large margin classifiers for visual tracking. An algorithm is presented to update the support instances by taking image data obtained previously and recently into account. In addition, a forgetting factor is introduced to weigh the contribution of support instances obtained at different time stamps. Experimental results demonstrate that our tracking algorithm is robust in handling occlusion, abrupt motion and illumination.

Original languageEnglish
Title of host publication2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011
Pages545-552
Number of pages8
DOIs
Publication statusPublished - 2011 Jun 17
Event2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011 - Santa Barbara, CA, United States
Duration: 2011 Mar 212011 Mar 25

Publication series

Name2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011

Conference

Conference2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011
CountryUnited States
CitySanta Barbara, CA
Period11/3/2111/3/25

Fingerprint

Support vector machines
Classifiers
Lighting

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

Cite this

Zhou, Q. H., Lu, H., & Yang, M. H. (2011). Online multiple support instance tracking. In 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011 (pp. 545-552). [5771456] (2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011). https://doi.org/10.1109/FG.2011.5771456
Zhou, Qiu Hong ; Lu, Huchuan ; Yang, Ming Hsuan. / Online multiple support instance tracking. 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011. 2011. pp. 545-552 (2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011).
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Zhou, QH, Lu, H & Yang, MH 2011, Online multiple support instance tracking. in 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011., 5771456, 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011, pp. 545-552, 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011, Santa Barbara, CA, United States, 11/3/21. https://doi.org/10.1109/FG.2011.5771456

Online multiple support instance tracking. / Zhou, Qiu Hong; Lu, Huchuan; Yang, Ming Hsuan.

2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011. 2011. p. 545-552 5771456 (2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - We propose an online tracking algorithm in which the support instances are selected adaptively within the multiple instance learning framework. The support instances are selected from training 1-norm support vector machines in a feature space, thereby learning large margin classifiers for visual tracking. An algorithm is presented to update the support instances by taking image data obtained previously and recently into account. In addition, a forgetting factor is introduced to weigh the contribution of support instances obtained at different time stamps. Experimental results demonstrate that our tracking algorithm is robust in handling occlusion, abrupt motion and illumination.

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Zhou QH, Lu H, Yang MH. Online multiple support instance tracking. In 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011. 2011. p. 545-552. 5771456. (2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011). https://doi.org/10.1109/FG.2011.5771456