Laser & Optoelectronics Progress, Volume. 57, Issue 16, 161013(2020)
Video Foreground Target Extraction Algorithm in Complex Background
[1] Chen Y, Dong J W. Target detection based on the interframe difference of block and graph-based. [C]∥2016 9th International Symposium on Computational Intelligence and Design (ISCID), December 10-11, 2016, Hangzhou, China. New York: IEEE, 467-470(2016).
[2] Chu H X, Ye S J, Guo Q C et al. Object tracking algorithm based on Camshift algorithm combinating with difference in frame. [C]∥2007 IEEE International Conference on Automation and Logistics, August 18-21, 2007, Jinan, China. New York: IEEE, 51-55(2007).
[4] Shahbaz A, Hariyono J, Jo K H. Evaluation of background subtraction algorithms for video surveillance. [C]∥2015 21st Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV), January 28-30, 2015, Mokpo, South Korea. New York: IEEE, 1-4(2015).
[5] Martel-Brisson N, Zaccarin A. Moving cast shadow detection from a Gaussian mixture shadow model. [C]∥2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), June 20-25, 2005, San Diego, CA, USA. New York: IEEE, 643-648(2005).
[8] van Droogenbroeck M, Paquot O. Background subtraction: experiments and improvements for ViBe. [C]∥2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, June 16-21, 2012, Providence, RI, USA. New York: IEEE, 32-37(2012).
Get Citation
Copy Citation Text
Lifeng He, Yanling Liu, Yan Zhong, Bin Yao. Video Foreground Target Extraction Algorithm in Complex Background[J]. Laser & Optoelectronics Progress, 2020, 57(16): 161013
Category: Image Processing
Received: Dec. 12, 2019
Accepted: Jan. 14, 2020
Published Online: Aug. 5, 2020
The Author Email: Yanling Liu (774362490@qq.com)