Abstract
We present results from multiple experiments with colour filtering methods in order to improve robustness in an integrated surveillance system to track people in a subway station. The system is designed to operate in real-time in a distributed local network of off-the-shelf computers, resulting in practical constraints not found in developmental systems. We show that the quality of colour information is degraded by electrical interference and image compression to such an extent that it is no longer useful for local edge detection. We give a recommendation as to what methods can be used to filter out most of the image noise influencing local edge detection and show how using these methods increases robustness of tracking.
This work is funded by the European Union, grants ADVISOR (IST-1999-11287) and Smart II (FMRX-CT96-0052).
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Siebel, N.T., Maybank, S.J. (2002). On the Use of Colour Filtering in an Integrated Real-Time People Tracking System. In: Remagnino, P., Jones, G.A., Paragios, N., Regazzoni, C.S. (eds) Video-Based Surveillance Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0913-4_14
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DOI: https://doi.org/10.1007/978-1-4615-0913-4_14
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