Abstract
Tracking the head and hand in real-time are important tasks for developing an intuitive interaction system. We present a system for robust probabilistic tracking that integrates face detection, face and hand color tracking and foot tracking in a uniform way by using particle filters. The advantages of different cues like motion, color and face detection are combined to yield robust 2D and 3D position estimates in spite of difficult varying lighting conditions and cluttered background. The system enables a user to navigate in the virtual scene by walking around and pointing towards objects by a simple hand gesture. The environment is a 3-sided CAVE with 1-sided stereo back projection.
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Grest, D., Koch, R. (2005). Multi-camera Person Tracking in a Cluttered Interaction Environment. In: Gagalowicz, A., Philips, W. (eds) Computer Analysis of Images and Patterns. CAIP 2005. Lecture Notes in Computer Science, vol 3691. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11556121_59
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DOI: https://doi.org/10.1007/11556121_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28969-2
Online ISBN: 978-3-540-32011-1
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