[1]HU Guanglong,QIN Shiyin.High precision detection of a mobile object under dynamic imaging based on SURF and Mean shift[J].CAAI Transactions on Intelligent Systems,2012,7(1):61-68.
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High precision detection of a mobile object under dynamic imaging based on SURF and Mean shift

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 7 Number of periods: 2012 1 Page number: 61-68 Column: 学术论文—机器感知与模式识别 Public date: 2012-02-25
Title:
High precision detection of a mobile object under dynamic imaging based on SURF and Mean shift
Author(s):
HU Guanglong;  QIN Shiyin
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China
Keywords:
speededup robust features(SURF);  image registration;  Mean shift;  image segmentation;  dynamic background;  object detection
CLC:
TP391.41
DOI:
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Abstract:
Taking into account the difficulty of movingobject detection with a dynamic background caused by camera motion, a new method was proposed based on speededup robust features (SURF) and Mean shift. First, the image registration based on SURF was applied to compensate the background motion, and then binarization of quadrature by difference method and morphological filters was carried out to detect the movingobject’s area so that the accurate detection and segmentation of the moving object was accomplished with Mean shift. Finally, the effectiveness and satisfactory performance were validated through a series of experiments of dynamic videos. The results indicate that the proposed algorithm is characterized by high precision, low false detection, and strong robustness to noises, and thus can be extended to application in practical engineering.
References:
［1］李劲菊,朱青,王耀南.一种复杂背景下运动目标检测与跟踪方法［J］.仪器仪表学报, 2010, 31(10): 22422247.
LI Jinju, ZHU Qing, WANG Yaonan. Detecting and tracking method of moving target in complex environment［J］. Chinese Journal of Scientific Instrument, 2010, 31(10): 22422247.
［2］郝久月,李超,高磊,等.智能监控场景中运动目标轨迹聚类算法［J］.北京航空航天大学学报, 2009, 35(9): 10831087.
?HAO Jiuyue, LI Chao, GAO Lei, et al. Moving object trajectory clustering method in intelligent surveillance video［J］. Journal of Beijing University of Aeronautics and Astronautics, 2009, 35(9): 10831087.
［3］HE L, PENG Z, EVERDING B, et al. A comparative study of deformable contour methods on medical image segmentation［J］. Image and Vision Computing, 2008, 26(2): 141163.
［4］BONINFONT F, ORTIZ A, OLIVER G. Visual navigation for mobile robots: a survey［J］. Journal of Intelligent & Robotics Systems, 2008, 53(3): 263296.
［5］谢凤英,赵丹培.Visual C++ 数字图像处理［M］.北京:电子工业出版社, 2008: 449463.
［6］YILMAZ A, JAVED O, SHAH M. Object tracking: a survey［J］. ACM Computing Surveys, 2006, 38(4): 145.
［7］KIM I S, CHOI H S, YI K M, et al. Intelligent visual surveillance: a survey［J］. International Journal of Control, Automation, and Systems, 2010, 8(5): 926939.
［8］ZITOVA B, FLUSSER J. Image registration methods: a survey［J］. Image and Vision Computing, 2003, 21(11): 9771000.
［9］BAY H, TUYTELAARS T, GOOL L V. SURF: speeded up robust features［C］//Proceedings of the European Conference on Computer Vision. Graz, Austria, 2006: 404417.
［10］张锐娟,张建奇,杨翠.基于SURF的图像配准方法研究［J］.红外与激光工程, 2009, 38(1): 160165.
ZHANG Ruijuan, ZHANG Jianqi, YANG Cui. Image registration approach based on SURF［J］. Infrared and Laser Engineering, 2009, 38(1): 160165.
［11］谢凡,秦世引.基于SIFT的单目移动机器人宽基线立体匹配［J］.仪器仪表学报, 2008, 29(11): 22472252.
XIE Fan, QIN Shiyin. Wide baseline stereo vision matching approach for monocular mobile robot based on SIFT［J］. Chinese Journal of Scientific Instrument, 2008, 29(11): 22472252.
［12］卜珂.基于SURF的图像配准与拼接技术研究［D］.大连:大连理工大学, 2009: 3358.
BO Ke. Research on image registration and mosaic based on SURF［D］. Dalian: Dalian University of Technology, 2009: 3358.
［13］COMANICIU D, MEER P. Mean shift : a robust approach toward feature space analysis［J］. IEEE Transaction on Pattern Analysis and Machine Intelligence, 2002, 24(5): 603619.
［14］周许超,屠大维,陈勇,等.基于相位相关和差分求积二值化的动态背景下运动目标检测［J］.仪器仪表学报, 2010, 31(5): 980983.
ZHOU Xuchao, TU Dawei, CHEN Yong, et al. Moving object detection under dynamic background based on phasecorrelation and differential multiplication［J］. Chinese Journal of Scientific Instrument, 2010, 31(5): 980983.
［15］王梅,屠大维,周许超.SIFT特征匹配和差分求积二值化融合的运动目标检测［J］.光学精密工程, 2011, 19(4): 892899.
?WANG Mei, TU Dawei, ZHOU Xuchao. Moving object detection by combining SIFT and differential multiplication［J］. Optics and Precision Engineering, 2011, 19(4): 892899.
［16］XIAO Jiangjian, YANG Changjiang, HAN Feng, et al. Vehicle and person tracking in aerial videos ［M］//Multimodal Technologies for Perception of Humans. Berlin/Heidelberg: SpringerVerlag, 2008: 203214.
［17］赵文哲,秦世引.一种高精度视频目标检测与分割新方法［J］.北京航空航天大学学报, 2010, 36(12): 14901494.
?ZHAO Wenzhe, QIN Shiyin. Novel approach to video object detection and precise segmentation［J］. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(12): 14901494.
［18］BROWN M, LOWE D G. Invariant features from interest point groups［C］//British Machine Vision Conference. Cardiff, UK, 2002: 656665.
［19］FISCHLER M A, BOLLES R C. Random sample consensus: a paradigm for model fitting with application to image automated cartography［J］. Communication of the ACM, 1981, 24(6): 381395.
［20］王晏,孙怡.自适应Mean shift算法的彩色图像平滑与分割算法［J］.自动化学报, 2010, 36(12): 16371644.
?WANG Yan, SUN Yi. Adaptive Mean shift based image smoothing and segmentation［J］. Acta Automatica Sinica, 2010, 36(12): 16371644.
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