Robust and Persistent Visual Tracking

Supported in part by NSF, ARO, NEC and Omron Corp.

The capacity of persistently tracking targets for a long duration is important for many fundamental vision tasks and applications. Recent studies over two decades have made good progress in understanding this problem, but left several basic challenges to be overcome for real-world applications. In recent year, we have been studying the following basic issues:


Research Issues
 
[1] Tracking Small Targets in Video
[2] Selective Attention for Robust Visual Tracking
[3] Context-awareness for Persistent and Long-duration Tracking
[4]   Differential Matching and Tracking
[5]   Model Adaptation and Dynamic Feature Selection
[6] Information Intergration and Belief Inconsistency
[7] Generative Models for Clutters/Occlusions


Publication:

Jornal Papers

  1. Zhimin Fan, Ming Yang and Ying Wu, "Multiple Collaborative Kernel Tracking", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol.29, No.7, pp.1268-1273, July 2007
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  2. Ying Wu and Ting Yu, "A Field Model for Human Detection and Tracking", IEEE Trans. on Pattern Analysi s and Machine Intelligence, Vol.28, No.5., pp.753-765, May, 2006.   [PDF]
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  3. Gang Hua and Ying Wu, "Variational Maximum a Posteriori by Annealed Mean Field Analysis", IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol.27, No.11, pp.1747-1781, Nov. 2005.  [PDF]
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  4. Ying Wu and Thomas S. Huang, "Robust Visual Tracking by Integrating Multiple Cues Based on Co-Inference Learning", Int'l Journal Computer Vision (IJCV), Vol.58, No. 1, June 2004.  [PDF]
Conference Papers
  1. Jialue Fan, Jiang Xu and Ying Wu, "Context-aware Tracking of Small Targets in Video", in Proc. Conf. on Signal and Data Processing of Small Targets, in SPIE Symposium on Optical Engineering and Applications, San Diego, CA, August 2009. [PDF]
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  2. Ming Yang, Junsong Yuan and Ying Wu, "Spatial Selection for Attentional Visual Tracking", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'07), Minneapolis, MN, June 2007    [PDF]
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  3. Ming Yang, Ying Wu and Shihong Lao, "Intelligent Collaborative Tracking by Mining Auxiliary Objects", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 06), New York City, NY, June 17-22, 2006.   [PDF]
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  4. Zhimin Fan, Ming Yang, Ying Wu, Gang Hua and Ting Yu, "Efficient Optimal Kernel Placement for Reliable Visual Tracking", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 06), New York City, NY, June 17-22, 2006.   [PDF]
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  5. Ting Yu and Ying Wu, "Differential Tracking based on Spatial-Appearance Model (SAM)", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 06), New York City, NY, June 17-22, 2006.   [PDF]
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  6. Gang Hua, Ying Wu and Zhimin Fan, "Measurement Integration Under Inconsistency for Robust Tracking", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 06), New York City, NY, June 17-22, 2006.  [PDF]
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  7. Zhimin Fan and Ying Wu, "Multiple Collaborative Kernel Tracking", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA, June 20-26, 2005.  [PDF]
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  8. Ying Wu, Ting Yu and Gang Hua, "A Statistical Field Model for Pedestrian Detection", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA, June 20-26, 2005.  [PDF]
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  9. Ming Yang and Ying Wu, "Tracking non-stationary appearances and dynamic feature selection", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA, June 20-26, 2005.  [PDF]
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  10. Ying Wu, Gang Hua and Ting Yu, "Switching Observation Models for Contour Tracking in Clutter", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'03), Vol.I, pp.295-302, Madison, WI, June, 2003.  [PDF]
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  11. Ying Wu, Ting Yu and Gang Hua, "Tracking Appearances with Occlusions", in Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'03), Vol.I, pp.789-795, Madison, WI, June, 2003.  [PDF]
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  12. Ying Wu and Thomas S. Huang, "A Co-inference Approach to Robust Visual Tracking", in Proc. IEEE Int'l Conf. on Computer Vision (ICCV'01), Vol.II, pp.26-33, Vancouver, Canada, July, 2001.  [PDF]
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  13. Ying Wu, Thomas S. Huang, "Color Tracking by Transductive Learning", In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR'2000), Vol.I, pp. 133-138, Hilton Head Island, SC, June, 2000.  [PDF]
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Updated 7/2006. Copyright © 2001-2006 Ying Wu