[1]LIU Hong-ding,QIN Shi-yin.Recognition and tracking of moving targets for binocular wheel moving robotst[J].CAAI Transactions on Intelligent Systems,2007,2(3):19-24.
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Recognition and tracking of moving targets for binocular wheel moving robotst

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 2 Number of periods: 2007 3 Page number: 19-24 Column: 学术论文—机器感知与模式识别 Public date: 2007-06-25
Title:
Recognition and tracking of moving targets for binocular wheel moving robotst
Author(s):
LIU Hong-ding; QIN Shi-yin
School of Automation Science and Electrical Engineering, Beihang University, Be ijing 100083, China
Keywords:
moving target;  recognition and tracking;  region growing;  shape feature extractio n
CLC:
TP242.6
DOI:
-
Abstract:
T his paper studies in depth recognition and tracking of moving targets by binocular mobile robots in relatively complex environments. To deal with noi se, Hu’s moment invariants were taken as object features and object region grow ing was carried out from the seed point which was searched by loop scanning. In this way objects could be detected and their relative positions estimated so as to effectively track moving targets and control the individual robots. This pape r made use of OpenCV to carry out image preprocessing, image segmentation, hole filling, region growing and feature extracting. Experimental results indicated t ha the system produces stable and fast tracking of moving targets in real time and is suitable for practical applications.
References:
［1］杨 耿，和卫星.运动目标图像识别与跟踪系统的研究［J］.计算机测量与控制, 2005,13(3):267-269.
?YANG Geng, HE Weixing. Study of system on image recognition and tracking of mov ing object［J］. Computer Measurement & Control, 2005, 13(3), 267-269.
［2］曹银花，李 林.动摄像机和动目标跟踪模式下的目标检测新方法［J］. 光学技术,2003, 31(2): 276-278.
CAO Yinhua, LI Lin. New method of target detection in the moving camera and movi ng target mode［J］. Optical Technique, 2003, 31(2):276-278
［3】杨志华，曾禹村.背景移动补偿技术［J］.北京理工大学学报，2000, 20(3): 333-337.
?YANG Zhihua, ZENG Yucun. Motional background compensation technique［J］. Jou rnal of Beijing Institute of Technology, 2000,20(3):333-337.
［4］沈志华.全自主机器人双目视觉检测研究［J］. 计算机测量与控制，2006, 14 (1): 26-28.
SHEN Zhihua. Reaserch on Isovision system of autonomous mobile robot for mo tion detection ［J］. Computer Measurement & Control, 2006, 14(1): 26-28.
［5］余 静，游志胜. 自动目标识别与跟踪技术综述［J］. 计算机应用研究，200 5, 22(1): 12-15.
YU jing, YOU Zhisheng. Survey of automatic target recognition and tracking m ethod ［J］. Appliction Research of Computer，2005, 22(1): 12-15.
［6］张天序，李小文. 复杂背景中的目标辨识方法研究［J］. 华中理工大学学报, 1994, 22(5): 1-6.
 ZHANG Tianxu, LI Xiaowen. Research on the method of object recognition in comple x environment［J］. J Huazhong Univ of Sc & Tech, 1994, 22(5): 1-6.
［7］黄飞泉.基于模板匹配的运动目标快速检测与跟踪［J］. 应用科技，2006, 33 (6): 115-117.
?HUANG Feiquan. Fast detection and tracking of moving object based on templat e matching ［J］. Applied Science and Technology, 2006, 33(6): 115-117.
［8］吉书鹏，张桂林，丁晓青. 地面复杂场景图像相关跟踪算法研究［J］. 激光与红外，2002, 32(6): 428-430.
 JI Shupeng, ZHANG Guilin, DING Xiaoqing. Study on image correlation tracking algorithm in the condition of comlicated ground background［J］. Laser & Infrar ed, 2002, 32(6): 428-430.
［9］杨 杨，张田文.一种基于特征光流的运动目标跟踪方法［J］. 宇航学报, 20 00, 21(2): 8-12.
?YANG Yang, ZHANG Tianwen. Moving target tracking based on featureopticalflow ［J］. Journal of Astronautics, 2000, 21(2): 8-12.
［10］王铁生，施鹏飞. 二值图像的快速标记方法及其应用［J］.微型电脑应用, 2004,20(6):6-8.
WANG Tiesheng, SHI Pengfei. Fast labeling of binary image and its applicatio n［J］. Microcomputer Application, 2004, 20(6): 6-8
［11］李? 云，鲍苏苏. 二值图像中物体区域的选定及外边缘跟踪技术［J］. 华南师范大学学报(自然科学版), 2000, 3(3): 27-29.
?LI Yun, BAO Susu. The technology object regions selection and exterior edges ttracking in binary image［J］. Journal of South China Normal University, 2000, 3(3): 27-29.
［12］王美华.不变量理论在模式识别中的应用［D］. 燕山: 燕山大学, 2004.
WANG Meihua. The application of invariants theory in pattern recognition ［D］. Yanshan: Yanshan Univercity, 2004.
［13］HU M K. Visual pattern recognition by moment invariants［J］. IRE T ransaction on Information Theory, 1962(2):179-187.
［14］孙亦南. 基于几何不变量的图像特征识别［J］. 计算机应用与软件, 2004,1 2(12) :1-4.
SUN Yinan. Recognition of image feature based on geometry invariants ［J］. Computer Application and Software, 2004, 12(12):1-4.
［15］高 文，陈熙霖.计算机视觉—算法与系统原理［M］. 北京：清华大学出版社，2000.
?［16］罗飞路，傅恩锡. CCD摄像机内外参数快速准确的标定方法［J］. 湖南大学大学学报,1997, 24(2): 71-74.
?LUO Feilu, FU Enxi. A fast and accurate calibration method of intrinsic and extr insic parameters of CCD Cameras ［J］. Journal of Hunan University, 1997, 24(2): 71-74.
［17］周富强，邾继贵. 双目视觉传感器的现场标定技术［J］. 仪器仪表学报, 20 00, 21(2):142-145.
?ZHOU Fuqiang, ZHU Jigui. A field calibration technique for binocular vision seno r ［J］. Chinese Journal of Scientific Instrument, 2000, 21(2): 142-145.
［18］于海生.微型计算机控制技术［M］. 北京：清华大学出版社，2001.
［19］王仲民.非完整轮式移动机器人运动控制系统的设计与实现［J］. 天津工程师范学院学报,2005,15(2)：11.
?WANG Zhongming. Design and implementation of motion control system of nonhol omic wheeled mobile robot ［J］. Journal of Tianjin Univercity of Technology and Education, 2005, 15(2): 11.
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