Recommendation of several researchers in the field of visual tracking (standby)

OnlyTraditional MethodMean Shift and particle filter.

Ido Leichter: Technion-Israel Institute of Technology-> microsof @ Israel

Main research contents: particle filter and Mean Shift

Representative papers: [1] I. leichter. mean Shift trackers with cross-bin metrics. IEEE Transactions on Pattern Analysis and machine intelligence (IEEE tpami), 34 (4): 695-706,201 2.

(Conjecture, after this, the mean shift tracking research may be extinct in such journals)

[2] I. leichter, M. lindenbaum and E. rivlin. mean Shift tracking with multiple reference color histograms. computer Vision and Image Understanding (cviu), 114 (3): 400-408,201 0.
[3] I. leichter, M. lindenbaum and E. rivlin. tracking by affine kernel transformations using color and boundary cues. IEEE Transactions on Pattern Analysis and machine intelligence (IEEE tpami), 31 (1): 164-171,200 9.
[4] I. leichter, M. lindenbaum and E. rivlin. bittracker-a bitmap tracker for visual tracking under very general conditions. IEEE Transactions on Pattern Analysis and machine intelligence (IEEE tpami), 30 (9): 1572-1588,200 8.
[5] I. leichter, M. lindenbaum and E. rivlin. A general framework for combining Visual Trackers-the "Black Boxes" approach. international Journal of Computer Vision (ijcv), 67 (3): 343-363,200 6.

Homepage: http://www.cs.technion.ac.il /~ Idol/

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Emilio Maggio: Queen Mary, University of London

Main research content:Target multipart expression, Mean Shift + particle filter combination

Representative papers: [1] e. maggio and. cavallaro, "accurate appearance-based Bayesian tracking for maneuvering targets source," computer vision and Image Understanding, vol. 113, ISS. 4, pp. 544-555,200 9.

[2] e. maggio, F. smeraldi, and. cavallaro, "Adaptive multifeature tracking in a particle filtering framework," circuits and systems for video technology, IEEE Transactions on, vol. 17, ISS. 10, pp.
1348-1359,200 7.

[3] E. Maggio and A. cavallaro, "Hybrid Particle Filter and Mean Shift tracker with adaptive transition model," In Proc. IEEE Signal Processing Society International Conference on acoustics,
Speech, and signal processing (icassp), Philadelphia, PA, USA, 2005, pp. 221-224.

He also wrote a book <Video Tracking>, 2011, which should be a summary of his PhD work.

In addition, he has two icassp best paper sessions.

Homepage: http://www.elec.qmul.ac.uk/mmv/people/emilio.htm

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Zulfiqar Hasan Khan:Chalmers University of Technology

Main research content:Target multipart expression, Mean Shift + particle filter combination, tracking of local feature and global feature combination

Representative papers: [1] Khan, Zulfiqar H .; gu, Irene y. H .; backhouse, Andrew: robust visual object tracking using multi-mode anisotropic Mean Shift and particle filters. IEEE Transactions on circuits and systems for video technology,
21 (1) pp. 74-87.

[2] Khan, Zulfiqar H .; gu, Irene y. h.: joint feature correspondences and appearance similarity for robust visual object tracking. IEEE Transactions on Information forensics and security, 5 (3) pp. 591-606.

Homepage: http://www.chalmers.se/s2/EN/contact/personnel/khan-zulfiqar-hasan

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Jifeng Ning:Postdoctoral at the Hong Kong Institute of Technology, Xi'an University of Electronic Science and Technology

Main research content:Mean Shift tracking (algorithms with Matlab code)

Homepage: http://www4.comp.polyu.edu.hk /~ Cslzhang/papers.htm !)

Representative papers: [1] J. Ning, L. Zhang, D. Zhang and C. Wu, "Scale and orientation adaptive mean shift tracking," to appear in Iet computer vision.

[2] J. Ning, L. Zhang, D. Zhang and C. Wu, "robust mean shift tracking with corrected background-weighted histogram," To appear in Iet computer vision.

[3] J. ning, L. zhang, D. zhang and C. wu, "robust object tracking using joint color-texture histogram," International Journal of pattern recognition and artificial intelligence, vol. 23, no. 7 (2009) 1245-1263.

In addition, his accomplishments in Image Segmentation seem to be more profound than tracking. His work is easier to understand and implement, and it is suitable for beginners.

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Yao Anbang:Tsinghua University

Main research content:Histogram similarity measurement method in tracking, Mean Shift + pf Hybrid Method

Representative papers: [1] Anbang Yao, Guijin Wang, xinggang Lin, and et al. An incremental bhattacharyya dissimilarity measure for filtering. pattern recognition, 43,201-1256

[2] Anbang Yao, xinggang Lin, Guijin Wang, and et al. A compact Association of particle filtering and kernel based Object Tracking. pattern recognition, 43,201 2: 2584-2597

Well written, clear, and easy to understand.