Comparative evaluation of background subtraction algorithms in remote scene videos captured by MWIR sensors

CORC > 光电技术研究所 > 中国科学院光电技术研究所 > 光电探测技术研究室（三室）

	Comparative evaluation of background subtraction algorithms in remote scene videos captured by MWIR sensors
	Yao, Guangle 1,2,3; Lei, Tao 1; Zhong, Jiandan 1,2,3; Jiang, Ping 1; Jia, Wenwu 4
刊名	Sensors (Switzerland)
	2017
卷号	17 期号:9 页码:1945
关键词	Video recording
ISSN号	1424-8220
英文摘要	Background 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.
语种	英语
内容类型	期刊论文
源URL	[http://ir.ioe.ac.cn/handle/181551/8895]
专题	光电技术研究所_光电探测技术研究室（三室）
作者单位	1.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
推荐引用方式 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.