the research and application of visual saliency and adaptive support vector machine in target tracking field

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ID: 177102
2013
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Abstract
The efficient target tracking algorithm researches have become current research focus of intelligent robots. The main problems of target tracking process in mobile robot face environmental uncertainty. They are very difficult to estimate the target states, illumination change, target shape changes, complex backgrounds, and other factors and all affect the occlusion in tracking robustness. To further improve the target tracking’s accuracy and reliability, we present a novel target tracking algorithm to use visual saliency and adaptive support vector machine (ASVM). Furthermore, the paper’s algorithm has been based on the mixture saliency of image features. These features include color, brightness, and sport feature. The execution process used visual saliency features and those common characteristics have been expressed as the target’s saliency. Numerous experiments demonstrate the effectiveness and timeliness of the proposed target tracking algorithm in video sequences where the target objects undergo large changes in pose, scale, and illumination.
Reference Key
chen2013computationalthe Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Yuantao Chen;Weihong Xu;Fangjun Kuang;Shangbing Gao
Journal advanced functional materials
Year 2013
DOI
10.1155/2013/925341
URL
http://dx.doi.org/10.1155/2013/925341
Keywords
medical informatics computer applications to medicine

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