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Automatic mining of vehicle behaviors from raw data collected by multiple sensors provides meaningful qualitative descriptions of the vehicle status. These qualitative behavior descriptions can be used in scenario parsing and have further applications in vehicle surveillance and frontal collision warning systems. In current approaches, the number of behavior categories is supposed to be known, or...
Vehicle occlusion in congested ground traffic situations causes performance degradation in visual traffic surveillance systems. In this paper, we present a hidden Markov model (HMM) -based vehicle detection algorithm that is capable of handling vehicle occlusion and detecting vehicles from image sequences. In our algorithm, we first use principal component analysis (PCA) and multiple discriminant...
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