基于改进Mean-Shift的颜色直方图地板块跟踪算法  

The Plate Tracking Algorithm based on Improved Mean-Shift Color Histogram

作　　者：江露[1] 李景禹[1] 陈宇[1] 

机构地区：[1]东北林业大学信息与计算机工程学院,哈尔滨150040

出　　处：《智能计算机与应用》2013年第1期26-28,32,共4页Intelligent Computer and Applications

基　　金：国家林业局948项目(2011-4-04);教育部大学生创新训练计划(201210225060);中央高校基本科研业务费(DL12CB02)

摘　　要：针对传统Mean-Shift算法中密度估计在速度、光线等因素影响下存在丢失目标的缺陷,在Mean-Shift算法基本原理的基础上,提出一种目标颜色直方图和Mean-Shift迭代算法相结合的跟踪方法。将该算法应用于地板块跟踪领域,研究了在遮挡物以及光线影响下该算法的可行性和跟踪效果。仿真和实验结果表明,该算法兼备跟踪快速、识别准确、稳定性好等优点,优于传统的Lu-cas-Kanade算法、Camshift算法,为地板块跟踪算法的研究提供了一个新的思路。On account that density estimation of Mean-Shift algorithm exists the shortcoming of losing the target under the influence of speed, light and other factors, the paper proposes a tracking methods combining target color histogram and mean-shift iterative algorithm on the basis of the basic principle of Mean-Shift algorithm.This paper applies the algorithm to plate tracking and researches the feasibility and efficiency of this algorithm under the influence of obstructions and light. The simulation and experimental results show that the algorithm has the advantages of faster tracking speed, higher recognition accuracy and stability than the traditional Lucas-Kanade algorithm and Camshift algorithm. The algorithm provides a new thought for the research on the plate tracking algorithm.

关 键 词：MEAN-SHIFT 颜色直方图 地板块跟踪 

分 类 号：TP31[自动化与计算机技术—计算机软件与理论]