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This paper presents a real-time video event recognition system for controlled environments. It is able to recognize human activities and interactions with the objects of the environment by exploiting different cues like trajectory analysis, skin detection and people recognition of the foreground blobs of the scene. Time variations of these features are studied and combined using Bayesian inference...
This paper evaluates the combination of static image (off-line) and dynamic information (on-line) for signature verification. Two off-line and two on-line recognition approaches exploiting information at the global and local levels are used. Experimental results are given using the BiosecurID database (130 signers, 3,640 signatures). Fusion experiments are done using a trained fusion approach based...
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