[1]LIU Xia,TAO Ye,XING Chun.An objective tracking Camshift algorithm based onautomatic startup and the statistical differential method[J].CAAI Transactions on Intelligent Systems,2011,6(4):355-359.
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An objective tracking Camshift algorithm based onautomatic startup and the statistical differential method

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 6 Number of periods: 2011 4 Page number: 355-359 Column: 学术论文—智能系统 Public date: 2011-08-25
Title:
An objective tracking Camshift algorithm based onautomatic startup and the statistical differential method
Author(s):
LIU Xia;  TAO Ye;  XING Chun
School of Automation, Harbin University of Science and Technology, Harbin 150080, China
Keywords:
CamShift algorithm;  background statistics;  object tracking;  object masking
CLC:
TP391
DOI:
-
Abstract:
The camshift tracking algorithm has the advantage of better realtime characteristics, but it is not able to start up automatically and is susceptible to noise and color change in the tracking process. In order to solve these problems, an improved Camshift algorithm was proposed. First, a statistical difference algorithm was applied for rapid localization of mobile targets, and the initial foreground object’s region was obtained. Then, an accurate target color histogram model was obtained by gathering foreground area statistics. The query table of the skin color histogram was also calculated taking this area as a prototype. Meanwhile, an autostart algorithm was successfully achieved with several subsequent steps. Finally, the algorithm was validated through experiments. 
References:
［1］杨振兴. 基于DM642的Camshift目标跟踪算法研究［D］. 南京：南京理工大学， 2010： 1523.
YANG Zhenxing. Research of Camshift tracking algorithm based on DM642［D］.Nanjing: Nanjing University of Science, 2010: 1523. 
［2］COMANICIU D, RAMESH V, MEER R. Realtime tracking of nonrigid objects using mean shift［C］//Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. Dublin, Ireland, 2000, 2: 142149.
［3］BRADSKI G R. Computer vision face tracking for use in aperceptual user interface［J］. Intel Technology Journal, 1998, 2: 214219.
［4］COMANICIU D, RAMESH V, MEER P. Kernel based object tracking［J］. IEEE Trans on Pattern Analysis and Machine Intelligence, 2003, 25(5): 564575.
?［5］董蓓,谢勤岚,贾茜.基于CamShift算法的运动目标实时跟踪系统［J］.自动化技术， 2008, 19: 116118.
DONG Bei, XIE Qinlan, JIA Xi. Realtime tracking system of moving object based on Camshift algorithm［J］. Automation Technology, 2008, 19: 116118.
［6］刘雪,常发亮,王华杰.基于改进Camshift 算法的视频对象跟踪方法［J］. 微计算机信息, 2007(23): 297299.
LIU Xue,CHANG Faliang,WANG Huajie.Video object tracking method based on improved Camshift algorithm［J］. Computer Information, 2007(23): 297299.
［7］ LIU Qiang, CAI Canhui, KING N N, LI Hongliang. CamShift based realtime multiple faces match tracking［C］//Proceedings of 2007 International Symposium on Intelligent Signal Processing and Communication Systems. Hong Kong: Chinese Univ of Hong Kong， 2007: 726729.
［8］WANG Zhaowen, YANG Xiaokang, XU Yi, YU Songyu. CamShift guided particle filter for visual tracking［C］//IEEE Xplore, 2007: 301306.
［9］朱胜利.Mean Shift及相关算法在视频跟踪中的研究［D］.杭州：浙江大学， 2006: 4354.
?ZHU Shengli. Research of Mean Shift and related algorithms in the video tracking［D］.Hangzhou: Zhejiang University, 2006: 4354. 
［10］魏旭宾,王向军.基于累积差分图像和高斯背景统计模型的烟尘目标检测［J］.宇航计测技术， 2007（2）： 5961.
WEI Xubin,WANG Xiangjun. Smoke target detection based on the cumulative difference image and Gaussian background statistical model［J］. Metrology and Measurement, 2007(2): 5961.
［11］NOBUYUKI OTSU.A threshold selection method from gray level histogram［J］. IEEE Transactions on Systems, Man and Cybernetics, 2008, 9(1): 6265.
［12］吴勃，许文芳，陈虹丽.神经滑模控制在机器人轨迹跟踪中的应用［J］.电机与控制学报, 2009, 13(增1)： 99105.
WU Bo, XU Wenfang, CHEN Hongli. Application of neural networks slidingmode control in tracking control of robot manipulators［J］.Electric Machines and Control, 2009, 13(suppl 1)：99105.
［13］汪语哲, 史小平, 朱胤. 抑制闪烁噪声的SMMIUKF目标跟踪算法［J］. 哈尔滨理工大学学报, 2010, 15(5): 6975.
?WANG Yuzhe, SHI Xiaoping, ZHU Yin. A SMMIUKF tracking method against target glint［J］. Journal of Harbin University of Science and Technology, 2010, 15(5): 6975.
［14］蔡春波，张华军，张义顺，刘立君. 基于视觉传感器焊缝跟踪轨迹自示教方法研究［J］. 哈尔滨理工大学学报,2009, 14(2): 9597.
CAI Chunbo, ZHANG Huajun, ZHANG Yishun, LIU Lijun. Investigation on seam tacking path selfteaching method based on visual sensor［J］. Journal of Harbin University of Science and Technology, 2009, 14(2): 9597.
［15］张丽丽，王建民. 太阳位置光电模拟信号检测跟踪的实现［J］. 自动化技术与应用, 2010, 29(9): 4043.
ZHANG Lili，WANG Jianmin. Implementation of the sun’s position photoelectricity analog signal detecting and tracking［J］. Techniques of Automation and Applications, 2010, 29(9): 4043.［16］白一鸣，孟宪尧. 基于FPGA的太阳能自动跟踪控制系统［J］. 自动化技术与应用, 2009, 28(9): 2629. BAI Yiming， MENG Xianyao. A FPGAbased tracking system of the solar panel［J］. Techniques of Automation and Applications, 2009, 28(9): 2629.
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