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一种视频运动目标的检测与识别方法

, PP. 238-242

Keywords: 视频监视系统,目标检测与识别,模式识别,图像形态学,遗传算法,人工神经网络

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Abstract:

针对户外智能视频监视系统,研究从视频序列中自动提取和识别运动目标的方法.在运动目标检测算法中,首先引入彩色差值模型,然后进行自适应阈值分割和图像形态学后处理,并提出背景参考图像的更新方法.在人体目标识别方法中,为克服物体阴影的影响,先利用直方图技术得到检测区域中含有的运动目标数目以及每个目标的顶部位置,然后提取运动目标头肩区域的不变矩特征,并利用遗传神经网络实现运动目标的自动识别.实验表明,这是一种快速有效的多运动目标检测与识别方法.

References

[1]  Zhang Z X, Li J Z, Li N N. Detection of Moving Object Using a Fusion Method Based on Segmentation of Optical Flow Field and Edge Extracted by Canny’s Operator. Acta Electronica Sinica, 2003, 31(9): 1299-1302 (in Chinese) (张泽旭,李金宗,李宁宁.基于光流场分割和Canny边缘提取融合算法的运动目标检测.电子学报, 2003, 31(9): 1299-1302)
[2]  Galic' S, Loncˇaric' S. Spatio-Temporal Image Segmentation Using Optical Flow and Clustering Algorithm. 2000. http://ipg.zesoi.fer.hr/papers/ispa00st.pdf
[3]  Huang S K, Tao L, Zhang T X. An Improved Algorithm of Moving Object Detection Based on Optical Flow. Journal of Huazhong University of Science and Technology (Nature Science), 2005, 33(5): 39-41 (in Chinese) (黄士科,陶 琳,张天序.一种改进的基于光流的运动目标检测方法.华中科技大学学报(自然科学版), 2005, 33(5): 39-41)
[4]  Li L J, Jia Z T, He G M. A Robust Video Segmentation Algorithm. Journal of Image and Graphics, 2002, 7(11): 1128-1133 (in Chinese) (李凌娟,贾振堂,贺贵明.一种鲁棒的视频分割算法.中国图象图形学报, 2002, 7(11): 1128-1133)
[5]  Pan J H, Liao Q M, Lin X G. Automatic Extraction of Moving Object in Video Sequences. Journal of Tsinghua University (Science and Technology), 2001, 41(4):190-193 (in Chinese) (潘锦辉,廖庆敏,林行刚.视频序列中运动目标的自动提取.清华大学学报(自然科学版), 2001, 41(4): 190-193)
[6]  Pan F, Wang X Y, Xiang G S, et al. A New Detection and Tracking Algorithm for Moving Objects. Opto-Electronic Engineering, 2005, 32(1): 43-46 (in Chinese) (潘 锋,王宣银,向桂山,等.一种新的运动目标检测与跟踪算法.光电工程, 2005, 32(1): 43-46)
[7]  Kim J B, Kim H J. Efficient Region-Based Motion Segmentation for a Video Monitoring System. Pattern Recognition Letters, 2003, 24(1-3): 113-128
[8]  Tai J C, Tseng S T, et al. Real-Time Image Tracking for Automatic Traffic Monitoring and Enforcement Applications. Image and Vision Computing, 2004, 22(6): 485-501
[9]  Hsieh J W, Hu W F, et al. Shadow Elimination for Effective Moving Object Detection by Gaussian Shadow Modeling. Image and Vision Computing, 2003, 21(6): 505-516
[10]  Li Q Z, Chen X H, Wang L H. Moving Object Detection and Recognition Method for Video Monitoring System. Computer Engineering, 2004, 30(16): 143-145 (in Chinese) (李庆忠,陈显华,王立红.视频监视中运动目标检测与识别方法.计算机工程, 2004, 30(16): 143-145)
[11]  Hu M K. Visual Pattern Recognition by Moment Invariant. IEEE Trans on Information Theory, 1962, 8: 179-187

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