Abstract
In this paper, we propose a new multi-view approach to object tracking method that adapts itself to suddenly changing appearance. The proposed method is based on color-based particle filtering. A short-term memory and a global appearance memory are introduced to handle sudden appearance changes and occlusions of the object of interest in multi-camera environments. A new target model update method is implemented for multiple camera views. Our method is robust and versatile for a modest computational cost. Desirable tracking results are obtained.
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© 2005 Springer-Verlag Berlin Heidelberg
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Kang, HB., Cho, SH. (2005). A Multi-view Approach to Object Tracking in a Cluttered Scene Using Memory. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3645. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538356_90
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DOI: https://doi.org/10.1007/11538356_90
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28227-3
Online ISBN: 978-3-540-31907-8
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