Fast infrared sea ship target detection based on improved BING algorithm
Liu YP(刘云鹏); Shi ZL(史泽林); Li LX(李乐星)
2017
会议名称LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017
会议日期July 23-25, 2017
会议地点Changchun, China
关键词Infrared image Sea ship BING algorithm Candidate regions
页码1-6
通讯作者Li LX(李乐星)
中文摘要The key to the target detection of infrared sea ship is real-time, fast and efficient detection of the real goal. The BING method, which introduces the binarization approximation calculation, can quickly detect target. But for infrared images, the approximate calculation also brings some shortcomings. The approximation of the gradient feature makes the overall gradient of the image amplitude decrease and some of the smaller gradient edge details disappear, so that leading to the weak distinguished ability. Based on the BING algorithm, we propose an improved BING algorithm which can quickly extract the candidate regions of infrared ship images. In the normed gradients(NG) feature, we introduce the Laplace difference operator and use the two-level cascaded SVM to learn them. Experimental results have shown that our method is effective and rapid to extract the region of interest (ROI) of the target ship.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者Chinese Society for Optical Engineering (CSOE)
会议录Proceedings SPIE 10605, LIDAR Imaging Detection and Target Recognition 2017
会议录出版者SPIE
会议录出版地Bellingham, USA
语种英语
ISSN号0277-786X
WOS记录号WOS:000426279000059
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/21307]  
专题沈阳自动化研究所_光电信息技术研究室
作者单位1.The Key Lab of Image Understanding and Computer Vision, Shenyang, Liaoning province, 110016, P. R. China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, P. R. China
3.College of Information Science and Engineering, Northeastern University, Shenyang, 110819, P. R. China
4.Key Laboratory of Opto-Electronic Information Processing, Chinese Academy of Sciences, Shenyang, 110016, P. R. China
推荐引用方式
GB/T 7714
Liu YP,Shi ZL,Li LX. Fast infrared sea ship target detection based on improved BING algorithm[C]. 见:LIDAR IMAGING DETECTION AND TARGET RECOGNITION 2017. Changchun, China. July 23-25, 2017.
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