计算机科学 ›› 2018, Vol. 45 ›› Issue (9): 283-287.doi: 10.11896／j.issn.1002-137X.2018.09.047
陈俊, 郑洪源
CHEN Jun, ZHENG Hong-yuan
摘要： FAsT-Match(Fast Affine Template Matching)算法很好地实现了二维仿射变换情况下的模板在连续图像中的快速、精准定位。该算法对光照变化不敏感,具有较强的鲁棒性,但是对于有多个目标的图像,只能定位到一个近似全局最优解。因此,首先对FAsT-Match算法进行改进,将通过对得到的仿射变换矩阵进行模糊c均值聚类而得到的目标区域作为新的目标图像,然后采用原始的FAsT-Match算法进行定位,最后将新目标位置返回到原始目标图像中。该方法弥补了FAsT-Match算法只能定位单目标的不足,应用到无线激光模拟射击系统中能够降低硬件成本,快速、精确地定位靶位目标。实验结果表明,该方法是有效的,可以在满足定位多个目标的需求的基础上实现多靶位定位,具有一定的实用价值。
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| [1]LIN Y G,HE X H,ZHANG S J.Real-time Multi-targets Tra-cking Based on Region Template Matching [J].Computer Simulation,2011,28(1):277-280.(in Chinese) 林月贡,何小海,张生军.基于区域模板匹配的多目标实时跟踪[J].计算机仿真,2011,28(1):277-280. [2]XIN N F,QIAN Q C,PENG H D,et al.Design of automatic target-scoring system of shooting game based on computer vision[C]∥Proceedings of the IEEE International Conference on Automation and Logistics.Shenyang,China,2009. [3]ALI F,MANSOOR A B.Computer vision based automatic scoring of shooting targets[C]∥Multitopic Conference,2008(INMIC 2008),IEEE International.IEEE,2008:515-519. [4]LEE W C,CHEN C H.A fast template matching method for rotation invariance using two-stage process[C]∥Proceeding of IEEE Conference on Intelligent Information Hiding and Multimedia Signal Processing.Kyoto,Japan,2009:9-12. [5]LV J,WANG B,GAO H M,et al.Separate of Multi objects in Image Recognition by Local Features[J].Acta Photonica Sinica,2008,37(8):1708-1712.(in Chinese) 吕冀,汪渤,高洪民,等.图像局部特征识别中的多目标分离[J].光子学报,2008,37(8):1708-1712. [6]GAO W,ZHU M,HE B G,et al.Overview of target tracking technology[J].Chinese Optics,2014,7(3):366-375.(in Chinese) 高文,朱明,贺柏根,等.目标跟踪技术综述[J].中国光学,2014,7(3):366-375. [7]KORMAN S,REICHMAN D,TSUR G,et al.FAsT-Match: Fast Affine Template Matching [J].International Journal of Computer Vision,2017,121(1):111-125. [8]LEI L,LI Z Y,SU Y.Multi-target Tracking Based on Fusion of ROI Feature Matching [J].Journal of Image and Graphics,2008,13(3):580-585.(in Chinese) 雷琳,李智勇,粟毅.基于ROI特征匹配融合的图像多目标跟踪算法[J].中国图象图形学报,2008,13(3):580-585. [9]ZOU H,HUANG F Z.Infrared Image Segmentation for Electrical Equipment Based on FAsT-Match Algorithm[J].Infrared Technology,2016,38(1):21-27.(in Chinese) 邹辉,黄福珍.基于FAsT-Match算法的电力设备红外图像分割[J].红外技术,2016,38(1):21-27. [10]冈萨,雷斯.数字图像处理(第二版)[M].北京:电子工业出版社,2007. [11]ZHAO L L,GENG G H,LI K,et al.Images matching algorithm based on SURF and fast approximate nearest neighbor search[J].Application Research of Computers,2013,30(3):921-923.(in Chinese) 赵璐璐,耿国华,李康,等.基于SURF 和快速近似最近邻搜索的图像匹配算法[J].计算机应用研究,2013,30(3):921-923. [12]HOU Y M,DI J M.Application of Improved Scale Invariant Feature Transform Accurate Image Matching in Target Positioning of Electric Power Equipment[J].Proceedings of the CSEE,2012,32(10):134-139.(in Chinese) 侯一民,邸建铭.改进的尺度不变特征转换精确图像匹配在电力设备目标定位中的应用[J].中国电机工程学报,2012,32(10):134-139. [13]LI G,FENG Y.Moving object detection based on SFT features matching and k-means clustering [J].Journal of Computer Applications,2012,32(10):2824-2826.(in Chinese) 李广,冯燕.基于SIFT特征匹配与K-均值聚类的运动目标检测[J].计算机应用,2012,32(10):2824-2826. |
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