Hai Tao

Publications authored by Hai Tao

Online updating appearance generative mixture model for meanshift tracking

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Jilin Tu, Hai Tao, and Thomas Huang, "Online updating appearance generative mixture model for meanshift tracking," Lecture Notes in Computer Science, vol. 3851, pp. 694-703, ACCV 2006. (PDF)

Object tracking with dynamic feature graphs

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Feng Tang and Hai Tao, "Object tracking with dynamic feature graphs", in Proc. IEEE Workshop on VS-PETS, October 2005. (PDF)

Object tracking using color correlogram

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Qi Zhao and Hai Tao, "Object tracking using color correlogram", in Proc. IEEE Workshop on VS-PETS, October 2005. (PDF)

Non-orthogonal binary subspace and its applications in computer vision

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Hai Tao, Ryan Crabb, and Feng Tang, "Non-orthogonal binary subspace and its applications in computer vision", in Proc. IEEE ICCV, October 2005. (PDF)

Counting Pedestrian in Crowds using view-invariant training

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Dan Kong, Doug Gray and Hai Tao, "Counting Pedestrian in Crowds using view-invariant training," in Proc. British Machine Vision Conference, 2005. (PDF)

Background modeling using time dependent Markov random field with image pyramid

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Yue Zhou, Yihong Gong, and Hai Tao, "Background modeling using time dependent Markov random field with image pyramid," in Proc. IEEE Motion’05, January 2005. (PDF)

A method for learning matching errors in stereo computation

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Dan Kong and Hai Tao, "A method for learning matching errors in stereo computation," in Proc. British Machine Vision Conference, September 2004. (PDF)

An algorithm for multiple object trajectory tracking

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Mei Han, Wei Xu, Hai Tao, and Yihong Gong, "An algorithm for multiple object trajectory tracking," in Proc. IEEE conf. on Computer Vision and Pattern Recognition, CVPR’04, 2004. (PDF)

Sparse IBR Using Range Space Rendering

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Dan Kong and Hai Tao, "Sparse IBR Using Range Space Rendering," in Proc British Machine Vision Conference, vol. 1, pp. 181-190, 2003. (PDF)

A Background Layer Model for Object Tracking through Occlusion

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Yue Zhou and Hai Tao, "A Background Layer Model for Object Tracking through Occlusion," in Proc. IEEE International Conf. on Computer Vision, ICCV'03, pp. 1079-1085, 2003. (PDF)

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