Automatic target detection and tracking in forward-looking infrared image sequences using morphological connected operators

2004 ◽  
Vol 13 (4) ◽  
pp. 802 ◽  
Author(s):  
Manish Choudhary
Keyword(s):  
Target Detection ◽  
Infrared Image ◽  
Image Sequences ◽  
Automatic Target Detection ◽  
Connected Operators ◽  
Detection And Tracking ◽  
Forward Looking

Target Detection and Tracking Based on Ship Borne Infrared Imagery

2010 ◽  
Vol 439-440 ◽  
pp. 546-551 ◽  
Author(s):  
Wen Hua Hu ◽  
Kai Yu Xu ◽  
Chao Jian Shi
Keyword(s):  
Target Detection ◽  
Real Life ◽  
Infrared Image ◽  
Intensity Variation ◽  
Target Position ◽  
Infrared Imagery ◽  
Automatic Target Detection ◽  
Detection And Tracking ◽  
Variation Function ◽  
Detection Mode

A novel automatic target detection and tracking algorithm for tracking targets based on ship borne infrared imagery is proposed in this paper. The algorithm has two modes: detection and tracking. In detection mode, the proposed algorithm utilized difference between the consecutive frames and top-hat filter to determine the target position. In tracking mode, the Intensity Variation Function (IVF) is utilized. Before tracking and location the new position, the algorithm should determine the IVF whether reliable. If unreliable, the mode turns to detection. Experimental results by using real-life infrared image sequence are shown to validate the robustness of the proposed technique.

scholarly journals Two Algorithms for the Detection and Tracking of Moving Vehicle Targets in Aerial Infrared Image Sequences

2015 ◽  
Vol 8 (1) ◽  
pp. 28 ◽  
Author(s):  
Yutian Cao ◽  
Gang Wang ◽  
Dongmei Yan ◽  
Zhongming Zhao
Keyword(s):  
Infrared Image ◽  
Image Sequences ◽  
Moving Vehicle ◽  
Detection And Tracking
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