Abstract：This paper focuses on automatic extraction and recognition of moving objects in video sequences for intelligent outdoor video monitoring systems. The object extraction method is based on a color image difference model and an adaptive threshold segmentation algorithm. Moreover, an image morphology filtering method and a background image updating method are described. In order to solve the recognition problems caused by shadows of objects, the number of objects and the corresponding top position of each object in the detected region are first obtained by histogrambased technique, then the invariant moment characteristics of headshoulder region are extracted. Finally, a GA based neural network is used to recognize the moving objects. Experimental results show that the proposed approach is effective for moving objects detection and recognition in complex outdoor background.
李庆忠，陈显华，王立红. 一种视频运动目标的检测与识别方法[J]. 模式识别与人工智能, 2006, 19(2): 238-242.
LI QingZhong, CHEN XianHua, WANG LiHong. A Moving Object Detection and Recognition Method in Video Sequences. , 2006, 19(2): 238-242.
[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
2006, Vol. 19 
