计算机应用与软件2012，Vol.29Issue(1)：38-41,95,5.
基于FOE和改进MCMC的视频运动目标跟踪方法
APPROACH OF TRACKING MOVING TARGETS IN VIDEOS BASED ON FOE AND MODIFIED MCMC
摘要
Abstract
Modified MCMC ( Markov Chain Monte Carlo) particle filters tracking algorithm can track multi-targets steadily. But it may either miss targets or track wrong targets in dynamic scenes. Taking into account that FOE (Focus of Expansion) plays an irreplaceable role in estimating camera movement, a simple estimation model of the target positions in video with FOE is constructed first and through it the target positions are estimated. And by combining MCMC and FOE, the phenomenon of target missing and jitter are improved so that the goal of further precision in target estimation is achieved. It is shown by the experimental results that the proposed approach has good effects on dealing with target tracking problem under front or back camera translation movement.关键词
目标跟踪/摄像机运动/马尔可夫链蒙特卡洛/粒子滤波/相机聚焦中心Key words
Target tracking/Camera motion/MCMC/Particle filter/FOE分类
信息技术与安全科学引用本文复制引用
王松,王汇源,王秀芬,李鹏..基于FOE和改进MCMC的视频运动目标跟踪方法[J].计算机应用与软件,2012,29(1):38-41,95,5.基金项目
国家自然科学基金项目(60872119) （60872119）
山东省自然科学基金(2009ZRB01675). （2009ZRB01675）
