A Shadow Elimination Method Based on Color and Texture

摘要：

In video surveillance system, it is a key factor that extracting moving objects accurately to obtain better monitoring effect. The shadows followed with moving objects may change the object shapes or distort the object. Therefore, it become difficult to extract moving objects accurately. In this paper, According to optical characteristics of shadow, a shadow elimination method based on HSV color space and texture local cross-entropy is proposed. Experiments show that our method is efficient in detecting and eliminating shadows.

关键词： shadow elimination local cross-entropy HSV space object extraction

作者: Yihua Zhou Lina Sun Jianbiao Zhang

作者单位: College of Computer Science and Technology Beijing University of Technology Beijing,China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 8-11

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）