End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement Learning

We study active object tracking, where a tracker takes visual observations (i.e., frame sequences) as input and produces the corresponding camera control signals as output (e.g., move forward, turn left, etc.). Conventional methods tackle tracking and camera control tasks separately, and the resulti...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 42(2020), 6 vom: 14. Juni, Seite 1317-1332
1. Verfasser: Luo, Wenhan (VerfasserIn)
Weitere Verfasser: Sun, Peng, Zhong, Fangwei, Liu, Wei, Zhang, Tong, Wang, Yizhou
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2020
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article Research Support, Non-U.S. Gov't