Gestures from traffic police give the authorized information, especially in some urgent situation. Thus, understanding of traffic police instruction accurately and promptly is particularly crucial for the automated driving system. However, this task is a great challenge not only because of the dynamic and diversity characteristics of the human gesture, but also the high requirement for real-time performance in each frame. We propose an online activity recognition method based on pose estimation and Graph Convolutional Networks (GCN) to recognize the traffic police gesture in frame level. The main contribution in this work is the development of an online framework based on graph convolutional networks for traffic police recognition. Our approach obtained the state-of-the-art results on Traffic Police Gesture Recognition (TPGR) dataset.
Traffic Police Gesture Recognition by Pose Graph Convolutional Networks
2020 IEEE Intelligent Vehicles Symposium (IV) ; 1833-1838
2020-10-19
2092879 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Traffic police gesture recognition method based on cloud communication and support vector machine
Europäisches Patentamt | 2020
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