Infrared Small Moving Target Detection via Saliency Histogram and Geometrical Invariability

被引:35
|
作者
Wan, Minjie [1 ]
Ren, Kan [1 ,2 ]
Gu, Guohua [1 ]
Zhang, Xiaomin [1 ]
Qian, Weixian [1 ]
Chen, Qian [1 ]
Yu, Shuai [3 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Elect & Opt Engn, Nanjing 210094, Jiangsu, Peoples R China
[2] Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing 100876, Peoples R China
[3] Xian Inst Appl Opt, Xian 710065, Peoples R China
来源
APPLIED SCIENCES-BASEL | 2017年 / 7卷 / 06期
基金
中国国家自然科学基金;
关键词
IR small moving target; saliency map; saliency histogram; geometrical invariability; IMAGE-CONTRAST ENHANCEMENT; EQUALIZATION; FILTER; SEA; SKY; DIM;
D O I
10.3390/app7060569
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In order to detect both bright and dark small moving targets effectively in infrared (IR) video sequences, a saliency histogram and geometrical invariability based method is presented in this paper. First, a saliency map that roughly highlights the salient regions of the original image is obtained by tuning its amplitude spectrum in the frequency domain. Then, a saliency histogram is constructed by means of averaging the accumulated saliency value of each gray level in the map, through which bins corresponding to bright target and dark target are assigned with large values in the histogram. Next, single-frame detection of candidate targets is accomplished by a binarized segmentation using an adaptive threshold, and their centroid coordinates with sub-pixel accuracy are calculated through a connected components labeling method as well as a gray-weighted criterion. Finally, considering the motion characteristics in consecutive frames, an inter-frame false alarm suppression method based on geometrical invariability is developed to improve the precision rate further. Quantitative analyses demonstrate the detecting precision of this proposed approach can be up to 97% and Receiver Operating Characteristic (ROC) curves further verify our method outperforms other state-of-the-arts methods in both detection rate and false alarm rate.
引用
收藏
页数:18
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