Abstract: Outdoor pedestrian detection has always been research challenges because of the complex background, such as light mutations, shaking leaves, passing of small animals and other complex noises. Regarding this fact, this paper proposes a pedestrian detection method based on improved ViBe(Visual Background Extractor) method. This method first uses the region-based improved ViBe update strategy, which improves the completion rate of the extraction of pedestrian-target-region while accelerates the elimination rate of the ghost-region. Then, the background difference method is used to filter the false area which caused by complex background. Finally, on this basis, according to certain logical rules, the method presented in this paper performs pedestrian detection selectively. The experimental results show that this method can not only accelerate the elimination rate of the ghost-region, but also reduce the interference of complex variable background. This method has high accurateness and robustness for outdoor pedestrian detection.

Key words: ViBe algorithm, ghost-region, outdoor complex scene, pedestrian detection