Hierarchical Convolutional Features via Adaptive Selection for Visual Tracking

熊昌镇 XIONG Chang-zhen; 车满强 Che Manqiang; 葛金鹏 Ge Jinpeng

doi:10.3788/gzxb20194803.0315002

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Hierarchical Convolutional Features via Adaptive Selection for Visual Tracking

熊昌镇 XIONG Chang-zhen 车满强 Che Manqiang 葛金鹏 Ge Jinpeng

Year: 2019 Journal: ACTA PHOTONICA SINICA Vol: 48 (3)Pages: 315002-315002 Publisher: Chinese Optical Society

DOI: 10.3788/gzxb20194803.0315002

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Keywords:

Computer science Artificial intelligence Selection (genetic algorithm) Eye tracking Tracking (education) Pattern recognition (psychology) Computer vision Psychology

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Topics

Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Hierarchical Convolutional Features via Adaptive Selection for Visual Tracking

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