关键词: 行人检测, 行人分割, AdaBoost, 蛇形分割

Abstract: It is difficult to get the pedestrian by the traditional algorithm of detecting objection. The segmented object won’t satisfy the later processing. The  result of the segmentation affects the real-time and accuracy of the objects’ tracking; For that reason, this paper detects and segments an object before tracking and recognition, adds new trapezoidal feature in Adaboost basic feature, roughly detects the position of the object and regards it as the initial location of ACM and improves the energy function. Contour of pedestrian gradually shrinks until the energy function decreases to a minimum. It extracts the real pedestrian target region from background region. Compared experiment results indicate the improved method satisfies obviously real time requirement and precision requirement. To a certain extent, it also reaches the needs of the intelligent.

Key words: pedestrian detection, pedestrian segmentation, AdaBoost, snake segmentation