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Reinforcement learning model creation method for automatic control of PTZ camera, and the reinforcement learning model
Reinforcement learning model creation method for automatic control of PTZ camera, and the reinforcement learning model
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机译：用于云台摄像机自动控制的强化学习模型创建方法及强化学习模型
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摘要
The present invention proposes a method for generating a reinforcement learning model that improves the image control efficiency of the intelligent security control system by generating an efficient reinforcement learning model for automatic control of the PTZ camera used in the intelligent security control system. The method of the present invention comprises: 1) acquiring and analyzing learning image data for acquiring learning image data including object information and analyzing position and size information of objects in the image to perform reinforcement learning; 2) selecting an action value of the PTZ camera to control the PTZ camera; 3) calculating a reward by estimating a control direction of the PTZ camera; 4) storing the data set including the state before and after the camera action and the reward; 5) determining whether the number of stored data sets is greater than or equal to a predetermined number; 6) creating a reinforcement learning model based on the stored dataset.
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