HUMAN DETECTION IN GROUPS USING A FAST MEAN SHIFT PROCEDURE (MA-P4)

Author(s) : Csaba Beleznai (Advanced Computer Vision GmbH - ACV, Austria) Bernhard Frühstück (Siemens AG Austria, Austria) Horst Bischof (Institute for Computer Graphics and Vision, Univ. of Technology Graz, Austria)

Abstract : Detecting individual humans within groups becomes a non-trivial task when performing automatic visual surveillance in crowded scenes. This paper proposes a novel way to detect individual humans directly from the difference image using a fast variant of the mean shift mode seeking procedure and verifying the hypothesized configuration by a model-based approach. The method runs in real-time. Promising results are demonstrated for challenging image sequences.

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