Abstract
Pedestrian detection and behavior analysis is an active research area with challenge in ITS. This text mainly emphasizes the research methods and the pedestrian detection fruits. According to the frame of pedestrian detection system, the pedestrian detection method based on machine vision, the pedestrian detection method under multi-sensor information fusion, the principle for pedestrian tracking and pedestrian behavior analysis are summarized in turn. Classifying the research methods above, it divides machine vision detection method into static background and dynamic background. Considering the pedestrian detection principle with multi-sensor information fusion, it was divided into the one based on classic mathematics and the other one based on AI. Pedestrian tracking methods are divided into the matching step and the probability prediction step. For the Pros and cons, they are also analyzed and concluded. Finally, some currently problems are proposed. Besides, the pedestrian detection method patents combining the future tendency of communication, automation and computer technology are expected by authors. Keywords: Behavior understanding, information fusion, intelligent transportation system, machine vision, pedestrian detection, pedestrian tracking.
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