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Appl. Sci. 2017, 7(6), 569;

Infrared Small Moving Target Detection via Saliency Histogram and Geometrical Invariability

School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China
Xi’an Institute of Applied Optics, Xi’an 710065, China
Author to whom correspondence should be addressed.
Academic Editors: Stefano Sfarra and Dario Ambrosini
Received: 20 April 2017 / Revised: 26 May 2017 / Accepted: 27 May 2017 / Published: 1 June 2017
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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. View Full-Text
Keywords: IR small moving target; saliency map; saliency histogram; geometrical invariability IR small moving target; saliency map; saliency histogram; geometrical invariability

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Wan, M.; Ren, K.; Gu, G.; Zhang, X.; Qian, W.; Chen, Q.; Yu, S. Infrared Small Moving Target Detection via Saliency Histogram and Geometrical Invariability. Appl. Sci. 2017, 7, 569.

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