Robust detection algorithm with triple constraints for cooperative target based on spectral residual  

作　　者：Shuai Hao Yongmei Cheng Xu Ma 

机构地区：[1]School of Electrical and Control Engineering, Xi'an University of Science and Technology [2]College of Automation, Northwestern Polytechnical University

出　　处：《Journal of Systems Engineering and Electronics》2017年第4期654-660,共7页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China(61135001);the Scientific Research Program of Shaanxi Provincial Department of Education(16JK1499);the Doctoral Fund of Xi’an University of Science and Technology(2015QDJ007);the Cultivation of Xi’an University of Science and Technology(2014015);the Ministry of Education Key Laboratory of Information Fusion Technology(LIFT2015-G-1)

摘　　要：The accurate detection of cooperative targets plays a key and foundational role in unmanned aerial vehicle (UAV) landing autonomously. The standard method based on fixed threshold is too susceptible to both illumination variations and interference. To overcome issues above, a robust detection algorithm with triple constraints for cooperative targets based on spectral residual (TCSR) is proposed. Firstly, by designing an asymmetric cooperative target, which comprises red background, green H and triangle target, the captured original image is converted into a Lab color space, whose saliency map is yielded by constructing the spectral residual. Then, the triple constraints are developed according to the prior knowledge of the cooperative target. Finally, the salient region in saliency map is considered as the cooperative target, and it meets the triple constraints. Experimental results in complex environments show that the proposed TCSR outperforms the standard methods in higher detection accuracy and lower false alarm rate.The accurate detection of cooperative targets plays a key and foundational role in unmanned aerial vehicle (UAV) landing autonomously. The standard method based on fixed threshold is too susceptible to both illumination variations and interference. To overcome issues above, a robust detection algorithm with triple constraints for cooperative targets based on spectral residual (TCSR) is proposed. Firstly, by designing an asymmetric cooperative target, which comprises red background, green H and triangle target, the captured original image is converted into a Lab color space, whose saliency map is yielded by constructing the spectral residual. Then, the triple constraints are developed according to the prior knowledge of the cooperative target. Finally, the salient region in saliency map is considered as the cooperative target, and it meets the triple constraints. Experimental results in complex environments show that the proposed TCSR outperforms the standard methods in higher detection accuracy and lower false alarm rate.

关 键 词：saliency detection cooperative target spectral residual triple constraints 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]