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Vol. 166, Issue 3, March 2014, pp. 213-218

 

Bullet

 

A Novel Dynamic Target Tracking Algorithm for Image Based on Two-step Reinforcement Learning
 

1, 2 * Xiaokun WANG, 1 Jinhua YANG, 1 Lijuan ZHANG, 1 Chenghao JIANG

1 Changchun University of Science and Technology, Changchun, Jilin 130022, China
2 Aviation University of Air Force, Changchun, Jilin 130022, China

* E-mail: wangxkcust@163.com

 

 

Received: 17 December 2013 /Accepted: 28 February 2014 /Published: 31 March 2014

Digital Sensors and Sensor Sysstems

 

Abstract: In this article, we modeled image target tracking into reinforcement learning framework, and we proposed a two-step reinforcement learning algorithm for target tracking. In this algorithm, we set multiple tracker agent to track the pixel of target, the intention of reinforcement learning is to achieve tracking strategy of every tracker agent, we divided each learning step of tracker into two parts, one is to learn the division strategy, another is to learn the action strategy, every tracker agent shares the experiences they have learned. Simulation experimental results illustrate the feasibility and effectiveness of the algorithm.

 

Keywords: Target tracking, Reinforcement learning, Image processing, Machine learning.

 

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