Infrared Small Moving Target Detection via Saliency Histogram and Geometrical Invariability
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 b...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2017-06-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/7/6/569 |
| _version_ | 1828918309915983872 |
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| author | Minjie Wan Kan Ren Guohua Gu Xiaomin Zhang Weixian Qian Qian Chen Shuai Yu |
| author_facet | Minjie Wan Kan Ren Guohua Gu Xiaomin Zhang Weixian Qian Qian Chen Shuai Yu |
| author_sort | Minjie Wan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-13T21:06:46Z |
| format | Article |
| id | doaj.art-3babe4f0f8684a09afbb98e39aaa6790 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-13T21:06:46Z |
| publishDate | 2017-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-3babe4f0f8684a09afbb98e39aaa67902022-12-21T23:31:27ZengMDPI AGApplied Sciences2076-34172017-06-017656910.3390/app7060569app7060569Infrared Small Moving Target Detection via Saliency Histogram and Geometrical InvariabilityMinjie Wan0Kan Ren1Guohua Gu2Xiaomin Zhang3Weixian Qian4Qian Chen5Shuai Yu6School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaXi’an Institute of Applied Optics, Xi’an 710065, ChinaIn 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.http://www.mdpi.com/2076-3417/7/6/569IR small moving targetsaliency mapsaliency histogramgeometrical invariability |
| spellingShingle | Minjie Wan Kan Ren Guohua Gu Xiaomin Zhang Weixian Qian Qian Chen Shuai Yu Infrared Small Moving Target Detection via Saliency Histogram and Geometrical Invariability Applied Sciences IR small moving target saliency map saliency histogram geometrical invariability |
| title | Infrared Small Moving Target Detection via Saliency Histogram and Geometrical Invariability |
| title_full | Infrared Small Moving Target Detection via Saliency Histogram and Geometrical Invariability |
| title_fullStr | Infrared Small Moving Target Detection via Saliency Histogram and Geometrical Invariability |
| title_full_unstemmed | Infrared Small Moving Target Detection via Saliency Histogram and Geometrical Invariability |
| title_short | Infrared Small Moving Target Detection via Saliency Histogram and Geometrical Invariability |
| title_sort | infrared small moving target detection via saliency histogram and geometrical invariability |
| topic | IR small moving target saliency map saliency histogram geometrical invariability |
| url | http://www.mdpi.com/2076-3417/7/6/569 |
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