Improved mean shift integrating texture and color features for robust real time object tracking-Reference-Cited by-同舟云学术

Improved mean shift integrating texture and color features for robust real time object tracking

Published:2012-02-29 Issue:3 Volume:29 Page:155-170
ISSN:0178-2789
Container-title:The Visual Computer
language:en
Short-container-title:Vis Comput

Author:

Bousetouane Fouad,Dib Lynda,Snoussi Hichem

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s00371-012-0677-0.pdf

Reference34 articles.

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2. Bousetouane, F., Dib, L., Snoussi, H.: Robust detection and tracking pedestrian object for real time surveillance applications. Proc. SPIE 8285, 828508 (2011). doi: 10.1117/12.913034

3. Souza, D.F.L., Machado, L.S., Moraes, R.M.: Integration of tracking systems for the development of virtual reality applications. IEEE Lat. Am. Trans. 8(6), 714–721 (2010)

4. Posada, L.F., Narayanan, K.K., Hoffmann, F., Bertram, T.: Floor segmentation of omnidirectional images for mobile robot visual navigation. In: Proc. Intelligent Robots and Systems IEEE/RSJ, pp. 804–809 (2010)

5. Yilmaz, A., Javed, O., Shah, M.: Object tracking: a survey. ACM Comput. Surv. 38(4), 1–45 (2006)

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