Robust Head Detection and Tracking in Cluttered Workshop Environments Using GMM-Reference-Cited by-同舟云学术

Robust Head Detection and Tracking in Cluttered Workshop Environments Using GMM

Published:2005 Issue: Volume: Page:442-450
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
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Author:

Barth Alexander,Herpers Rainer

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11550518_55.pdf

Reference8 articles.

1. Birchfield, S.: Elliptical head tracking using intensity gradients and color histograms. In: IEEE Conference on Computer Vision and Pattern Recognition (1998)

2. Stauffer, C., Grimson, W.E.L.: Adaptive background mixture models for real-time tracking. In: Proceedings of the IEEE Computer Science Conference on Computer Vision and Pattern Recognition (CVPR 1999), pp. 246–252. IEEE, Los Alamitos (1999)

3. Power, P.W., Schoonees, J.A.: Understanding background mixture models for foreground segmentation. Imaging and Vision Computing (2002)

4. Porikli, F., Tuzel, O.: Human body tracking by adaptive background models and mean-shift analysis. In: Workshop on PETS (2003)

5. Harville, M.: A framework for high-level feedback to adaptive, per-pixel, mixture-of-gaussian background models. Proc. of ECCV 3, 543–560 (2002)

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