激光与光电子学进展, 2015, 52 (5): 051004, 网络出版: 2015-05-07   

基于区域特征匹配的扩展目标高精度跟踪 下载: 587次

High-Precision Extended Object Tracking Based on Region Feature Matching
作者单位
成都大学电子信息工程学院, 四川 成都 610106
摘要
为了能够更精确的跟踪扩展目标,提出了一种基于最大稳定极值区域(MSER)特征匹配的高精度扩展目标跟踪方法,该方法通过对扩展目标图像中的一个区域进行抽样式多阈值二值化处理提取出MSER,再通过对MSER 面积变化率条件的判断保证质心提取精度,并与上一帧MSER 进行相似度匹配找到下一帧的MSER,将其质心作为跟踪坐标。实验结果表明该方法对于存在MSER 特征的扩展目标具有更精确和更稳定的跟踪能力,在面积变化率一定的条件下,其跟踪精度不低于0.1 pixel,且计算时间也减少了约3/4。
Abstract
In order to track extended object more precisely, a high-precision extended object tracking method is proposed based on maximally stabel extremal regions (MSER) feature, according to binarization with sampling multithreshold, the MSERs are detected in a region of extended object, if area change rate of MSER meets centroid precision condition, the MSER is picked out. And MSER in next frame are extracted and matched with the MSER in previous frame, the centroid of the MSER matched is next tracking position. Experimental results show that the proposed tracking method can improve the stabilization and precision of extended object tracking, if area change rate of MSER meets the certain condition, the tracking precision is better than 0.1 pixel, and the time consumption reduces by 3/4.
参考文献

[1] 王鑫, 唐振民. 一种改进的基于Camshift 的粒子滤波实时目标跟踪算法[J]. 中国图象图形学报, 2010, 15(10): 1507-1514.

    Wang Xin, Tang Zhenmin. An improved camshift-based particle filter algorithm for real-time target tracking[J]. Journal of Image and Graphics, 2010, 15(10): 1507-1514.

[2] 李晶, 范九伦. 一种基于卡尔曼滤波的运动物体跟踪算法[J]. 计算机应用研究, 2010, 27(8): 3162-3164.

    Li Jing, Fan Jiulun. Algorithm for moving object tracking based on Kalman filter[J]. Application Research of Computers, 2010, 27(8): 3162-3164.

[3] 蔺海峰, 马宇峰, 宋涛. 基于SIFT 特征目标跟踪算法研究[J]. 自动化学报, 2010, 36(8): 1204-1208.

    Lin Haifeng, Ma Yufeng, Song Tao. Research on object tracking algorithm based on SIFT[J]. Acta Automatica Sinica, 2010, 36(8): 1204-1208.

[4] Lowe D G. Distinctive image features from scale-invariant keypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110.

[5] 张建伟, 张启衡. 基于直线边缘特征匹配的扩展目标跟踪方法[J]. 光学学报, 2009, 29(10): 2826-2831.

    Zhang Jianwei, Zhang Qiheng. An extended object tracking method based on straight-line edge feature matching[J]. Acta Optica Sinica, 2009, 29(10): 2826-2831.

[6] 刘倩, 闫宇壮, 黄新生. 基于边缘特征的亚像素相关匹配跟踪算法[J]. 计算机工程, 2011, 37(15): 201-202.

    Liu Qian, Yan Yuzhuang, Huang Xinsheng. Subpixel correlation matching tracking algorithm based on edge feature[J]. Computer Engineering, 2011, 37(15): 201-202.

[7] Gao X, Sattar F, Venkateswarlu R. Multiscale corner detection of gray level images based on log-gabor wavelet transform[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2007, 17(7): 868-875.

[8] 董静, 杨夏, 于起峰. 基于边缘连接的快速直线段检测算法[J]. 光学学报, 2013, 33(3): 0315003.

    Dong Jing, Yang Xia, Yu Qifeng. Fast line segment detection based on edge conneting[J]. Acta Optica Sinica, 2013, 33(3): 0315003.

[9] Chetverikov D, Matas J. Periodic textures as distinguished regions for wide-baseline stereo correspondence[C]. In Proc. of the 2nd International Workshop on Texture Analysis and Synthesis, 2002: 25-30.

[10] Kupfer B, Netanyahu N S, Shimshoni I. An efficient SIFT-based mode-seeking algorithm for sub-pixel registration of remotely sensed images[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 12(2): 379-383.

[11] Couprie M, Najman L, Bertrand G. Quasi-linear algorithms for the topological watershed[J]. Journal of Mathematical Imaging and Vision, 2005, 22(2-3): 231-249.

[12] Lapeer R J, Tan A C, Aldridge R. Active Watersheds: Combining 3D Watershed Segmentation and Active Contours to Extract Abdominal Organs from MR Images[M]. Berlin: Springer, 2002: 596-603.

[13] 陈家新, 王纪刚. 一种改进的医学图像分水岭分割算法[J]. 计算机应用研究, 2013, 30(8): 2557-2560.

    Chen Jiaxin, Wang Jigang. Improved watershed segmentation algorithm for medical image[J]. Application Research of Computers, 2013, 30(8): 2557-2560.

[14] 王方雨, 何昕, 魏仲慧, 等. 红外高炮弹点目标序列图像自动提取[J]. 红外技术, 2012, 34(11): 640-643.

    Wang Fangyu, He Xin, Wei Zhonghui, et al.. Automated extraction of projectile in infrared serial images[J]. Infrared Technology, 2012, 34(11): 640-643.

[15] Matas J, Chum O, Urban M, et al.. Robust wide baseline stereo from maximally stable extremal regions[J]. Image and Vision Computing, 2004, 22(10): 761-767.

[16] Donoser M, Bischof H. Efficient maximally stable extremal region (MSER) Tracking[C]. Computer Vision and Pattern Recognition, 2006, 1: 553-560.

[17] Matthews I, Ishikawa T, Baker S. The template update problem[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004, 26(6): 810-815.

[18] 刘国栋, 刘炳国, 陈凤东, 等. 亚像素定位算法精度评价方法的研究[J]. 光学学报, 2009, 29(12): 3446-3451.

    Liu Guodong, Liu Bingguo, Chen Fengdong, et al.. Study on the method of accuracy evaluation of sub-pixel location operators[J]. Acta Optica Sinica, 2009, 29(12): 3446-3451.

[19] 杨勇, 王琰蕾, 李明, 等. 高精度数字图像相关测量系统及其技术研究[J]. 光学学报, 2006, 26(2): 197-201.

    Yang Yong, Wang Yanlei, Li Ming, et al.. Research of high-accuracy digial image correlation measurement system[J]. Acta Optica Sinica, 2006, 26(2): 197-201.

[20] 解则晓, 高翔, 崔健. 移动式三维测量用圆形标记点提取算法[J]. 中国激光, 2013, 40(12): 1208002.

    Xie Zexiao, Gao Xiang, Cui Jian. Extraction algorithm of circular targets used for mobile three-eimemsional measurement[J]. Chinese J Lasers, 2013, 40(12): 1208002.

张建伟. 基于区域特征匹配的扩展目标高精度跟踪[J]. 激光与光电子学进展, 2015, 52(5): 051004. Zhang Jianwei. High-Precision Extended Object Tracking Based on Region Feature Matching[J]. Laser & Optoelectronics Progress, 2015, 52(5): 051004.

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