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Comparative evaluation of background subtraction algorithms in remote scene videos captured by MWIR sensors
Yao, Guangle1,2,3; Lei, Tao1; Zhong, Jiandan1,2,3; Jiang, Ping1; Jia, Wenwu4
Source PublicationSensors (Switzerland)
Volume17Issue:9Pages:1945
2017
Language英语
ISSN1424-8220
Indexed BySCI ; Ei
AbstractBackground subtraction (BS) is one of the most commonly encountered tasks in video analysis and tracking systems. It distinguishes the foreground (moving objects) from the video sequences captured by static imaging sensors. Background subtraction in remote scene infrared (IR) video is important and common to lots of fields. This paper provides a Remote Scene IR Dataset captured by our designed medium-wave infrared (MWIR) sensor. Each video sequence in this dataset is identified with specific BS challenges and the pixel-wise ground truth of foreground (FG) for each frame is also provided. A series of experiments were conducted to evaluate BS algorithms on this proposed dataset. The overall performance of BS algorithms and the processor/memory requirements were compared. Proper evaluation metrics or criteria were employed to evaluate the capability of each BS algorithm to handle different kinds of BS challenges represented in this dataset. The results and conclusions in this paper provide valid References to develop new BS algorithm for remote scene IR video sequence, and some of them are not only limited to remote scene or IR video sequence but also generic for background subtraction. The Remote Scene IR dataset and the foreground masks detected by each evaluated BS algorithm are available online: https://github.com/JerryYaoGl/BSEvaluationRemoteSceneIR. © 2017 by the authors. Licensee MDPI, Basel, Switzerland.
KeywordVideo recording
Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/8895
Collection光电测控技术研究室(三室)
Affiliation1.Institute of Optics and Electronics, Chinese Academy of Sciences, P.O. Box 350, Shuangliu, Chengdu; 610209, China;
2.School of Optoelectronic Information, University of Electronic Science and Technology of China, No. 4, Section 2, North Jianshe Road, Chengdu; 610054, China;
3.University of Chinese Academy of Sciences, 19 A Yuquan Rd, Shijingshan District, Beijing; 100039, China;
4.China Huayin Ordnance Test Center, Huayin; 714200, China
Recommended Citation
GB/T 7714
Yao, Guangle,Lei, Tao,Zhong, Jiandan,et al. Comparative evaluation of background subtraction algorithms in remote scene videos captured by MWIR sensors[J]. Sensors (Switzerland),2017,17(9):1945.
APA Yao, Guangle,Lei, Tao,Zhong, Jiandan,Jiang, Ping,&Jia, Wenwu.(2017).Comparative evaluation of background subtraction algorithms in remote scene videos captured by MWIR sensors.Sensors (Switzerland),17(9),1945.
MLA Yao, Guangle,et al."Comparative evaluation of background subtraction algorithms in remote scene videos captured by MWIR sensors".Sensors (Switzerland) 17.9(2017):1945.
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