[3] WANG Yan-fang, JIANG Wei. Application of artificial fish swarm algorithm on adaptive auto-focusing window selection[J]. Computer Engineering and Applications, 2011, 47(14): 180-182.
[4] YAO Shu-jun, CHEN Xiao-dong, WANG Sen, et al. Camshift algorithm-based moving target recognition and tracking system[C]. 2012 IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems (VECIMS), 2012: 181-185.
[8] CZYZ J, RISTIC B, MACQ B. A particle filter for joint detection and tracking of color objects[J]. Image and Vision Computing, 2007, 25(8): 1271-1281.
[9] GUAN Hai-ke, NIINAMI N, LIU Tong. Real-time object tracking for moving target auto-focus in digital camera[C]. IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, 2015: 940009.
[10] LI Pei-hua, ZHANG Tian-wen, PECE A E C. Visual contour tracking based on particle filters[J]. Image and Vision Computing, 2003, 21(1): 111-123.
[11] ZHANG Lei, WANG Yan-jie, HE Shu-wen. Real-time compressive tracking method based on phase congruency[J]. Acta Photonica Sinica, 2014, 43(8): 0810003.
[12] LEE H K, CHOI K W, KONG D, et al. Improved Kanade-Lucas-Tomasi tracker for images with scale changes[C]. 2013 IEEE International Conference on Consumer Electronics (ICCE), 2013: 33-34.
[13] ANABTAWI N, FERZLI R M. An auto focus framework for computer vision systems[C]. IS&T/SPIE Electronic Imaging. International Society for Optics and Photonics, 2015: 94050W.