摘要
Aiming to the problem of pedestrian tracking with frequent or long-term occlusion in complex scenes,an anti-occlusion pedestrian tracking algorithm based on location prediction and deep feature rematch is proposed.Firstly,the occlusion judgment is realized by extracting and utilizing deep feature of pedestrian’s appearance,and then the scale adaptive kernelized correlation filter is introduced to implement pedestrian tracking without occlusion.Secondly,Karman filter is introduced to predict the location of occluded pedestrian position.Finally,the deep feature is used to the rematch of pedestrian in the reappearance process.Simulation experiment and analysis show that the proposed algorithm can effectively detect and rematch pedestrian under the condition of frequent or long-term occlusion.
作者
Hu Zhentao
Mao Yihao
Fu Chunling
Liu Xianxing
胡振涛;Mao Yihao;Fu Chunling;Liu Xianxing(College of Computer and Information Engineering,Henan University,Kaifeng 475004,P.R.China;School of Physics and Electronics,Henan University,Kaifeng 475004,P.R.China)
基金
the National Natural Science Foundation of China(No.61976080,61771006)
the Key Project of Henan Province Education Department(No.19A413006).
