Object detection algorithm based on background motion compensation and hypothesis test

LAI Zuo-mei; WANG Jing-ru; ZHANG Qi-heng

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Object detection algorithm based on background motion compensation and hypothesis test

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- Object detection algorithm based on background motion compensation and hypothesis test
- Optics and Precision Engineering Vol. 15, Issue 1, Pages: 112-116(2007)
- 作者机构：
  
  1. 中国科学院研究生院北京,100039
  2. 中国科学院光电技术研究所国家863计划光束控制重点实验室,四川成都,610209
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Received：18 July 2006，
  
  Revised：19 September 2006，
  
  Published Online：30 January 2007，
  
  Published：30 January 2007
- 稿件说明：
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LAI Zuo-mei, WANG Jing-ru, ZHANG Qi-heng. Object detection algorithm based on background motion compensation and hypothesis test[J]. Optics and precision engineering, 2007, 15(1): 112-116.
DOI：

LAI Zuo-mei, WANG Jing-ru, ZHANG Qi-heng. Object detection algorithm based on background motion compensation and hypothesis test[J]. Optics and precision engineering, 2007, 15(1): 112-116. DOI：

摘要

根据背景与目标具有不同的运动特性这一事实

提出一种基于背景运动补偿和假设检验的目标检测算法。首先

采用特征点对应法求相邻帧间的运动;然后

用最小二乘法计算出摄像机仿射运动参数

利用此参数进行帧间背景运动补偿后得到稳定的背景;最后

用假设检验方法检测补偿后的帧差图像

经过简单的形态学和连通区域处理后检测出运动目标。仿真表明

该运动补偿算法能有效消除背景突出目标

补偿前后的差分图像信噪比提高了14.71 dB。该算法计算量小

可以成为一种通用的实时目标检测算法。

Abstract

According to the fact that background and object have different motion features

an object detection algorithm was proposed based on background motion compersation and hypothesis test. Motion vector was detected by a feature point corresponding algorithm and affine motion parameters were calculated through least square method. Difference image after compensation was detected by hypothesis test. After a series of morphological process

we obtained the intact moving object. Experimental results indicate that this algorithm can eliminate background motion effectivelly because of moving cameras and segment object under complex environment. The peak signal noise ratio has been improved 14.71 dB compared with two difference images.

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references

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. 孙辉,赵红颖. 基于光流模型的图像运动估计方法 . 光学精密工程,2002,10(5):443-447. SUN H, ZHAO H Y. Method of estimating image motion based on the optical flow model [J].Opt. Precision. Eng., 2002.10(5):443-447. (in Chinese)

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. 游安清,程义民. 基于背景运动补偿的红外运动分析[J]. 强激光与粒子束,2003,15(5):431-434. YOU A Q, CHENG Y M. Motion analysis and tracking infrared target based on compensation with background movement [J]. High Power Laser and Particle Beams, 2003, 15(5):431-434. (in Chinese)

. KIM J B. Efficient region-based motion segmentation for video monitoring system . Kyungpook National University, 2001.

. 朱辉,陈坚,李在铭,等. 一种视频对象生成方法的研究与实现[J]. 系统工程与电子技术,2003,15(1):21-24. ZHU H, CHEN J, LI Z M, et al.. Study and implementation of a video object generation algorithm [J]. Syst. Eng. Electron.2003, 15(1):21-24. (in Chinese)

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