期刊文献+

基于纹理和小波变换的阴影检测去除算法 被引量:1

A Shadow Detection and Removal Algorithm Based on Texture and Wavelet Transform
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摘要 在基于视频处理的室外场景运动物体检测系统中,对运动物体的阴影进行检测与去除是一个关键环节。文中提出了一种基于纹理自相关和整数小波变换相结合的运动物体阴影检测与去除算法,算法中首先使用纹理自相关对运动物体的阴影进行预提取,再对阴影预提取结果进行统计判别,对判别为阴影误检的区域再进行基于整数小波变换的阴影再检测,最后将两次检测结果相结合实现对运动物体阴影的检测与去除。实验结果表明:文中的方法不仅能够准确地检测出与背景灰度差别比较大的运动物体的阴影,而且能够较好地检测出与背景灰度相近的运动物体的阴影,较好地克服了使用单一方法进行阴影检测与去除时常见的阴影误检问题,获得了很好的阴影检测与去除效果。 In outdoor moving object detection system based on video processing,the shadow of the moving object detection and removal is a key link.This paper proposes that a moving object's shadow detection and removal algorithm is based on texture autocorrelation and integer wavelet transformation.The algorithm firstly uses the texture autocorrelation to the pre-extraction of the shadow of the moving objects;secondly by use of the statistical discrimination methods it evaluates the shadow pre-extraction results;then by use of the integer wavelet transformation it re-extract the misjudgment of the shadow area;and finally by combining the two shadow extraction results it actualizes the shadow detection and removal of the moving object.Experimental results show that: the method not only can accurately detect the shadow of the moving object which is a large differences in gray in comparison with the background,but also can better detect the shadow of the moving object which is similar to the background in gray,so the method solves the common false detection question of the shadow when using the single method to detect the shadow and remove it,and get a wonderful shadow detection and removal results.
出处 《东莞理工学院学报》 2011年第3期46-52,共7页 Journal of Dongguan University of Technology
基金 广东省工业科技攻关计划项目"基于视频检测的关联交叉口群智能控制系统的研究与实现"(2005A10101001)
关键词 阴影检测 纹理自相关 整数小波变换 运动物体检测 shadow detection texture autocorrelation integer wavelet moving object detection
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参考文献15

  • 1Benedek C, Sziranyi T. Bayesian Foreground and Shadow Detection in Uncertain Frame Rate Surveillance Videos [ J ]. Processing of IEEE Transactions on Image, 2008, 17 (4) :608 -621.
  • 2Chunyu Y, Xing Z, Yong Z. Radiation Knowledge Based Gaussian Shadow Detection [ C ]. ISECS International Colloquium on Computing, Communication, Control, and Management, 2008:101 - 104.
  • 3黄信想,刘秉瀚.基于HSV色彩空间的云模型车辆阴影检测[J].福州大学学报(自然科学版),2008,36(6):809-813. 被引量:6
  • 4Cucchiara R, Grana C, Piccardi M, et al. Improving Shadow Suppression in Moving Object Detection with HSV Color Information[ C]. Proceedings of IEEE Intelligent Transportation Systems, 2001:334 -339.
  • 5Cavallaro A, Salvador E, Ebrahimi T. Shadow - aware Object - based Video Processing[ J]. Proceedings of IEEE Vision, Image and Signal, 2005, 152(4) :398 -406.
  • 6Rao B, Zheng G, Chen T, et al. An Efficient Hierarchical Method for Image Shadow Detection [ C ]. Second International Workshop on Knowledge Discovery and Data Mining, 2009:622 -627.
  • 7秦钟.基于梯度方向恒定性的运动车辆阴影检测[J].华南理工大学学报(自然科学版),2008,36(10):43-46. 被引量:7
  • 8王萍,王波.基于小波系数及光学特征的车辆阴影检测[J].天津大学学报,2008,41(2):199-203. 被引量:3
  • 9王晓冬,霍宏,方涛.基于快速归一化互相关函数的运动车辆阴影检测算法[J].计算机应用,2006,26(9):2065-2067. 被引量:13
  • 10Haraliek R M. Statistical and Structural Approaches to Texture[ J ]. Proceedings IEEE 1979,67(5) : 786 -804.

二级参考文献39

  • 1郭建波,周剑利,韩鸿哲,王志良.背景差法中的阴影消除方法[J].辽宁工程技术大学学报(自然科学版),2005,24(1):104-106. 被引量:7
  • 2王华伟,李翠华,施华,韦凤梅.基于HSV空间和一阶梯度的阴影剪除算法[J].计算机工程与应用,2005,41(8):43-44. 被引量:6
  • 3李众,杨一栋.一种新的基于二维云模型不确定性推理的智能控制器[J].控制与决策,2005,20(8):866-872. 被引量:25
  • 4陈柏生,陈锻生.基于归一化rgb彩色模型的运动阴影检测[J].计算机应用,2006,26(8):1879-1881. 被引量:15
  • 5Kastrinaki V, Zervakis M, Kalaitzakis K. A survey of video processing techniques for traffic applications [ J ]. Image and Vision Computing,2003,21 (4) :359-381.
  • 6Wu Yi-ming, Ye Xiu-qing, Gu Wei-kang. A shadow handler in traffic monitoring system [ C ]//IEEE Conference on Vehicular Technology. [ S. l. ]:[ s.n. ] ,2002:303-307.
  • 7Prati A, Mikic I, Trivedi M M, et al. Detecting moving shadows :algorithms and evaluation [ J ]. IEEE Trans on Pattern Analysis and Machine Intelligence, 2003,25 (7) : 918-923.
  • 8Sohail Nadimi, Bir Bhanu. Physical models for moving shadow and object detection in video [J]. IEEE Trans on Pattern Analysis and Machine Intelligence,2004,26 (8) : 1079-1087.
  • 9Yoneyama A, Yeh C H, Kuo C C J. Moving cast shadow elimination for robust vehicle extraction based on 2D joint vehicle/shadow models [ C ]//IEEE Conf on Advanced Video and Signal Based Surveillance. [ S.l. ] : [ s. n. ], 2003:229- 236.
  • 10Cucchiara R, Grana C, Piccardi M, et al. Improving shadow suppression in moving object detection with HSV color information [ C ]//IEEE Transportation Systems Conference Proceedings. [ S. l. ]: [ s. n. ] ,2001:334-339.

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