2019 International Conference on Electronics, Information, and Communication (ICEIC) · 2019 · 16 citations · 5 references
ComputingComputer ScienceComputer VisionMachine VisionRobot VisionAction RecognitionDigital SurveillanceMotion AnalysisObject RecognitionVideo AnalysisCamerasSurveillance SystemsVideo Anomaly Detection
Recently, Pan/Tilt/Zoom (PTZ) camera has been widely used in video surveillance systems. However, it is difficult to automatically control PTZ cameras according to moving objects in the surveillance area. This paper proposes an automatic camera control method based on a Deep-Q Network (DQN) for improving the recognition accuracy of anomaly actions in the video surveillance system. To generate PTZ camera control values, the proposed method uses the position and size information of the object which received from the video analysis system. Through implementation results, the proposed method can automatically control the PTZ camera according to moving objects.
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Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al. · Nature · 2015 · 30K citations
Playing Atari with Deep Reinforcement Learning
Volodymyr Mnih, Koray Kavukcuoglu, David Silver et al. · arXiv (Cornell University) · 2013 · 5.1K citations · Full text