光学技术, 2014, 40 (6): 531, 网络出版: 2014-12-17  

畸变校正与帧差法相结合的运动目标检测

Moving object detection based on distortion correction and frame difference
作者单位
信息工程大学 理学院, 河南 郑州 450001
摘要
提出了一种图像畸变校正与帧差法相结合的运动目标检测方法。首先利用实验测量和曲线拟合的方法对光学成像系统的畸变进行测量校正, 以满足运动目标检测的精度要求;然后将畸变校正方法应用在实时获取的视频图像帧中, 利用帧差法实现光学成像系统旋转运动时的运动目标检测。实验表明, 该算法可行、抗噪性好, 能够满足实时性需求。
Abstract
A method of moving object detection combined image distortion correction with frame difference is proposed. Firstly, the distortion of the optical imaging system is corrected by experimental measurement and curve fitting method for meeting the accuracy requirement of moving object detection. And then the distortion correction method is used in the captured image frames. As thus, the object detection is completed by frame difference method. Experiments show that the proposed method which meets real-time requirements is effective and has good noise immunity.
参考文献

[1] 侯宏录, 李宁鸟, 刘迪迪,等. 智能视频监控中运动目标检测的研究[J]. 计算机技术与发展, 2012, 22(2):49-52.

    Hou Honglu, Li Ningniao, Liu Didi, et al. Research on moving target detection of intelligent video surveillance[J]. Computer Technology and Development, 2012, 22(2):49-52.

[2] Wang Yang. Real-time moving vehicle detection with cast shadow removal in video based on conditional random field [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2009, 19(3):437-441.

[3] 黄斯茜, 李光. 智能视频监控系统运动目标检测技术研究综述[J]. 信息通信, 2012, 1(4):57-58.

    Huang Siqian, Li Guang. Summary of moving target detection technology in Intelligent video surveillance system[J]. Information & Communication, 2012, 1(4):57-58.

[4] Wang Kongqiao, Xu Lei, Fang Yikai, et al. One-against-all frame differences based hand detection for human and mobile interaction[J]. Neurocomputing, 2013, 120(1):185-191.

[5] 李建成, 刘兴淼, 潘伟全,等. 动态背景下的红外运动目标检测[J]. 光电工程, 2013, 40(3):1-6.

    Li Jiancheng, Liu Xingmiao, Pan Weiquan, et al. A method of infrared image moving object detection on dynamic background[J]. Opto-Electronic Engineering, 2013, 40(3):1-6.

[6] 王天召, 徐克虎, 黄大山. 动态背景下的运动目标检测[J]. 计算机技术与发展, 2013, 7(23):104-107.

    Wang Tianzhao, Xu Kehu, Huang Dashan. Moving object detection under dynamic background[J]. Computer Technology and Development, 2013, 7(23):104-107.

[7] 张以谟. 应用光学[M]. 北京:机械工业出版社, 1988:244-245.

    Zhang Yimo. Applied optics[M]. Beijin: Machine Press, 1988:244-245.

[8] 张静, 秦文健, 贾亮. 摄像机畸变矫正研究的综述[J]. 科技创新导报, 2011, 1(7):5-7.

    Zhang Jing, Qin Wenjian, Jia Liang. A summary of camera distortion correction[J]. Science and Technology Innovation Herald, 2011, 1(7):5-7.

[9] 张蔚, 李恩普, 陈建明. 大视场光学系统畸变曲线拟合[J]. 电光与控制, 2004, 11(4):57-62.

    Zhang Wei, Li Enpu, Chen Jianming. Curved-fitting methods for distortion correction of large-FOV optical system[J]. Electronics Optics & Control, 2004, 11(4):57-62.

[10] 张全法, 何金田. 提高广角成像系统几何畸变数字校正精度的方法[J]. 光学技术, 2001, 27(3):242-246.

    Zhang Quanfa, He Jintian. Improving the precision of digital distortion correction of wide-angle imaging system[J]. Optical Technique, 2001, 27(3):242-246.

[11] 郝毫刚, 陈家琪. 基于五帧差分和背景差分的运动目标检测算法[J]. 计算机工程, 2012, 38(4):146-148.

    Hao Haogang, Chen Jiaqi. Moving object detection algorithm based on five frame difference and background difference[J]. Computer Engyneering, 2012, 38(4):146-148.

周灿, 余仲秋, 张晖. 畸变校正与帧差法相结合的运动目标检测[J]. 光学技术, 2014, 40(6): 531. ZHOU Can, YU Zhongqiu, ZHANG Hui. Moving object detection based on distortion correction and frame difference[J]. Optical Technique, 2014, 40(6): 531.

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