[1]姚放吾 许辰铭.基于目标质心的Meanshift跟踪算法[J].计算机技术与发展,2012,(06):104-106.
 YAO Fang-wu,XU Chen-ming.A Meanshift Tracking Algorithm Based on Centroid[J].,2012,(06):104-106.
点击复制

基于目标质心的Meanshift跟踪算法()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年06期
页码:
104-106
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
A Meanshift Tracking Algorithm Based on Centroid
文章编号:
1673-629X(2012)06-0104-03
作者:
姚放吾12 许辰铭12
[1]南京邮电大学计算机学院[2]江苏省无线传感网高技术研究重点实验室
Author(s):
YAO Fang-wu XU Chen-ming
[1]Colloge of Computer, Nanjing University of Posts and Telecommunications[2]Key Lab of Jiangsu Province Wireless Sensor Network High Technology Research
关键词:
目标跟踪质心Meanshift
Keywords:
object tracking centroid Meanshift
分类号:
TP31
文献标志码:
A
摘要:
运动目标跟踪涉及到计算机图像处理、视频图像处理、模式识别以及人工智能等诸多领域,是一门交叉性很强的学科。因此,研究一种实时性、鲁棒性好的运动目标跟踪方法依然是该领域面临的一个巨大挑战。快速运动目标跟踪技术是当今目标跟踪领域的难点之一。均值漂移算法在目标跟踪过程中没有利用目标的运动方向和速度信息,这就导致了无法准确跟踪快速目标。文中提出了一种基于质心算法的Meanshift跟踪模型算法。初始位置采用运动目标质心,并在质心位置处采用Meanshift迭代,以巴氏系数判断当前目标和参考目标的匹配程度。实验分析,该算法可实现快速、有效跟踪目标
Abstract:
Moving target tracking is a highly cross-disciplinary, which involves many fields, such as computer image processing, video image processing, pattern recognition,artificial intelligence and so on. Therefore, the research of real-time and robustness is still a great challenge in thc field of object tracking. Fast motion target tracking is one of the most difficulties in the field. Meanshift algorithm doesn' t use the target' s motion direction and speed information in process of target tracking. So it brings about failures in fast motion target tracking. An algorithm combined center of gravity with Meanshift algorithm is proposed in this paper. At first, use the centroid as initial position;And then Meanshift iteration is done in the location of the centroid;And the Bhattacharyya' s coefficient is applied to judge the matching degree between the current target and reference target. Experimental results show that the new algorithm can help achieve fast and effective object tracking

相似文献/References:

[1]刘翔 吴谨 祝愿博 康晓晶.基于视频序列的目标检测与跟踪技术研究[J].计算机技术与发展,2009,(11):179.
 LIU Xiang,WU Jin,ZHU Yuan-bo,et al.A Study of Object Detecting and Tracking Based on Video Sequences[J].,2009,(06):179.
[2]王超 倪志伟 朱小虎.基于Squeezer算法的数据流离群数据挖掘算法[J].计算机技术与发展,2008,(01):87.
 WANG Chao,NI Zhi-wei,ZHU Xiao-hu.A Data Stream Outliers Detection Algorithm Based on Squeezer Cluster Algorithm[J].,2008,(06):87.
[3]雷云 王夏黎 孙华.基于视频的交通目标跟踪方法研究[J].计算机技术与发展,2010,(07):44.
 LEI Yun,WANG Xia-li,SUN Hua.The Research about Transport Target Tracking Based on Video[J].,2010,(06):44.
[4]谢之宇 蒋晓瑜 汪熙 裴闯.基于多线索融合的目标跟踪算法研究[J].计算机技术与发展,2011,(03):125.
 XIE Zhi-yu,JIANG Xiao-yu,WANG Xi,et al.A Target Tracking Algorithm Research Based on Multi-Cue Fusion[J].,2011,(06):125.
[5]尤天来 周海徽[].红外目标跟踪技术研究[J].计算机技术与发展,2011,(10):140.
 YOU Tian-lai,ZHOU Hai-hui.Research of Infrared Target Tracking Technology[J].,2011,(06):140.
[6]赵侃 漆德宁.基于UKF滤波的FDOA和TDOA联合定位跟踪算法[J].计算机技术与发展,2012,(05):127.
 ZHAO Kan,QI De-ning.A Tracking TDOA/FDOA Joint Location Algorithm Based on UKF[J].,2012,(06):127.
[7]张璐,张国良,张维平,等.改进IMM算法在机器人目标跟踪中的应用[J].计算机技术与发展,2013,(02):149.
 ZHANG Lu,ZHANG Guo-liang,ZHANG Wei-ping,et al.Application of Improved IMM Algorithm in Robot Target Tracking[J].,2013,(06):149.
[8]吴佳家,高珏,李敏,等.基于均值漂移和卡尔曼滤波的跟踪算法研究[J].计算机技术与发展,2014,24(01):5.
 WU Jia-jia[,GAO Jue[],LI Min[],et al.Research on Target Tracking Algorithm Based on Mean Shift and Kalman Filter[J].,2014,24(06):5.
[9]孙学彬[],莫林[],张福元[],等. 基于垂直线条密度质心法的车牌倾斜校正[J].计算机技术与发展,2014,24(08):161.
 SUN Xue-bin[],MO Lin[],ZHANG Fu-yuan[],et al. Vehicle License Plate Tilt Correction Based on Density Centroid Method of Vertical Lines[J].,2014,24(06):161.
[10]郝杰,任静. 高超声速飞行器交互式多模型跟踪算法仿真[J].计算机技术与发展,2015,25(02):204.
 HAO Jie,REN Jing. Tracking Algorithm Simulation of Interactive Multiple Model for Hypersonic Flight Vehicle[J].,2015,25(06):204.

备注/Memo

备注/Memo:
江苏高校优势学科建设工程资助项目(yx002001)姚放吾(1953-),男,教授,硕士生导师,研究方向为数字图像处理、嵌入式技术及在通信中的应用许辰铭(1986-),男,江苏常州人,硕士研究生,研究方向为数字图像处理
更新日期/Last Update: 1900-01-01