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Multiple People Tracking Using an Appearance Model Based on Temporal Color

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1811))

Abstract

We present a method for the detection and tracking of multiple people totally occluded or out of sight in a scene for some period of time in image sequences. Our approach is to use time weighted color information, i.e., the temporal color, for robust medium-term people tracking. It assures our system to continuously track people moving in a group with occlusion. Experimental results show that the temporal color is more stable than shape or intensity when used in various cases.

To whom all correspondence should be addressed. This research was supported by Creative Research Initiatives of the Ministry of Science and Technology, Korea.

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References

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© 2000 Springer-Verlag Berlin Heidelberg

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Roh, HK., Lee, SW. (2000). Multiple People Tracking Using an Appearance Model Based on Temporal Color. In: Lee, SW., Bülthoff, H.H., Poggio, T. (eds) Biologically Motivated Computer Vision. BMCV 2000. Lecture Notes in Computer Science, vol 1811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45482-9_37

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  • DOI: https://doi.org/10.1007/3-540-45482-9_37

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67560-0

  • Online ISBN: 978-3-540-45482-3

  • eBook Packages: Springer Book Archive

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