29 August 2016 A robust object tracking algorithm in complex environment
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Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 100330G (2016) https://doi.org/10.1117/12.2244162
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
Abstract
In the approaching tracking process, we get infrared images from far to near, and the target in the images varies from small to big. The main problems in the tracking process are the large variety of scale, the change of target’s posture and intensity, the collusion of interferences. This paper focuses on the whole tracking and detection process when the target and inferences exist at the same time and block each other. We propose an approach which includes several cues. Firstly, according to the amount of target pixels, the target is divided into small target and shaped target. Then we use the information of the target displacement rate to track and detect the small target which only has several pixels and is unstable. For the shaped target, we can make use of the target’s contrast information. Lastly, we validate our method by designing an experiment which simulates the entire tracking and detection process. The test shows that our method improve the performance.
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Dazhao Shi, Dazhao Shi, Huimin Ma, Huimin Ma, } "A robust object tracking algorithm in complex environment", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 100330G (29 August 2016); doi: 10.1117/12.2244162; https://doi.org/10.1117/12.2244162
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