In this paper, we propose a fuzzy-feature based method for online upper body tracking using an IP PTZ camera. Because the camera uses a built-in web server, camera control entails camera response time and network delays, and thus, the frame rate is irregular and in general low (2-7 fps). It detects at every frame, candidate targets by extracting motion, a sampling method, and appearance. The target is detected among samples with a fuzzy classifier. Results show that our system has a good target detection precision (> 85%), low track fragmentation, and the target is almost always localized within 1/6th of the image diagonal from the image center. © 2009 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Varcheie, P. D. Z., & Bilodeau, G. A. (2009). Fuzzy feature-based upper body tracking with IP PTZ camera control. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5856 LNCS, pp. 809–816). https://doi.org/10.1007/978-3-642-10268-4_95
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