Abstract
In transport security context, real-time detection of potentially dangerous situations is very important. We need to be able to identify pedestrians like intruders in forbidden areas, as quickly as possible. The signatures must be precise in order to identify persons, and also compact to be rapidely transmitted through a network. We propose in this paper a new signature which is based on a Principal Component Analysis (PCA), applied to color histograms.
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Leclercq, T., Khoudour, L., Macaire, L., Postaire, JG., Flancquart, A. (2006). COMPACT COLOR VIDEO SIGNATURE BY PRINCIPAL COMPONENT ANALYSIS. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_118
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DOI: https://doi.org/10.1007/1-4020-4179-9_118
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