Abstract
We present in this article a human detection and tracking algorithm using infrared vision in order to have reliable information on a room occupation. We intend to use this information to limit energetic consumption (light, heating). We perform first, a foreground segmentation with a Gaussian background model. A tracking step based on connected components intersections allows to collect information on 2D displacements of moving objects in the image plane. A classification based on a cascade of boosted classifiers is used for the recognition. Experimental results show the efficiency of the proposed algorithm. © 2008 Springer-Verlag.
Cite
CITATION STYLE
Benezeth, Y., Emile, B., Laurent, H., & Rosenberger, C. (2008). A real time human detection system based on far infrared vision. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5099 LNCS, pp. 76–84). https://doi.org/10.1007/978-3-540-69905-7_9
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