关键词: 遮挡行人检测, 神经网络, 人工特征, 深度学习

Abstract:

Pedestrian detection has been widely applied in intelligent traffic, intelligent monitoring, unmanned driving, pedestrian analysis and other fields. With the development of technology, the accuracy of pedestrian detection technology has become increasingly high. This paper summarizes the research progress of pedestrian detection technology under occlusion. Firstly, according to different occlusion, it can be divided into reasonable-occlusion caused by non-target and reasonable-crowd caused by target to be detected. Secondly, this paper summarizes the traditional method and deep learning method to deal with occlusion. The main ideas and core problems of each method model are analyzed and discussed. Finally, this paper gives an outlook on the problems to be solved in the future development of pedestrian detection technology under occlusion.

Key words: occlusion pedestrian detection, neural network, artificial features, deep learning