Temporal Profile Based Small Moving Target Detection Algorithm in Infrared Image Sequences

2007 ◽  
Vol 28 (5) ◽  
pp. 373-381 ◽  
Author(s):  
Delian Liu ◽  
Jianqi Zhang ◽  
Weike Dong
Keyword(s):  
Target Detection ◽  
Infrared Image ◽  
Detection Algorithm ◽  
Image Sequences ◽  
Moving Target ◽  
Moving Target Detection ◽  
Temporal Profile

A novel spatio-temporal saliency approach for robust dim moving target detection from airborne infrared image sequences

2016 ◽  
Vol 369 ◽  
pp. 548-563 ◽  
Author(s):  
Yansheng Li ◽  
Yongjun Zhang ◽  
Jin-Gang Yu ◽  
Yihua Tan ◽  
Jinwen Tian ◽  
...  
Keyword(s):  
Target Detection ◽  
Infrared Image ◽  
Image Sequences ◽  
Moving Target ◽  
Moving Target Detection ◽  
Spatio Temporal

Dim-small moving target detection in infrared image sequences

2011 ◽  
Vol 23 (12) ◽  
pp. 3312-3316
Author(s):  
张强 Zhang Qiang ◽  
蔡敬菊 Cai Jingju ◽  
张启衡 Zhang Qiheng
Keyword(s):  
Target Detection ◽  
Infrared Image ◽  
Image Sequences ◽  
Moving Target ◽  
Moving Target Detection

Moving Target Detection Based on Principle of Connectivity and Texture Gradient

2012 ◽  
Vol 605-607 ◽  
pp. 2117-2120
Author(s):  
Min Huang ◽  
Yang Zhang ◽  
Gang Chen ◽  
Guo Feng Yang
Keyword(s):  
Target Detection ◽  
Detection Algorithm ◽  
Experimental Results ◽  
Texture Gradient ◽  
Moving Target ◽  
Moving Target Detection ◽  
Gradient Information ◽  
Target Segmentation ◽  
Target Profile

In target detection, “hole” phenomenon is present in the detection result, and the shadow is difficult to remove. To solve these problems, we propose a target detection algorithm based on principle of connectivity and texture gradient. Firstly, we use the connectivity principle to find the largest target prospects connection area to get a complete target contour, secondly we use target texture gradient information to further remove the shadow of the target. At last, the experimental results show that the algorithm can obtain a clear target profile and improve the accuracy of the moving target segmentation.

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