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Shadow detection using multi-features in SVM classifier
Wang ZP(王占鹏); Tian JD(田建东); Tang YD(唐延东); Zhang YZ(张艳珠); Xia Y(夏泳); Wang L(王玲)
作者部门机器人学研究室
会议名称2nd International Conference on Precision Mechanical Instruments and Measurement Technology, ICPMIMT 2014
会议日期May 30-31, 2014
会议地点Chongqing, China
会议录名称Applied Mechanics and Materials
出版者Trans Tech Publications Ltd
出版地Zurich-Durnten, Switzerland
2014
页码1680-1683
收录类别EI
EI收录号20143518112778
产权排序1
ISSN号1660-9336
ISBN号978-3-03835-194-8
关键词Mathematical Morphology Object Recognition Security Systems
摘要Shadows may cause many problems in computer vision, such as object recognition, image segmentation and video surveillance. In this paper, we present a new method to detect cast shadow in a single outdoor image. We build up an illumination model to explain the process of shadow formed, and through this model we introduce some useful features. The regions for extract features are acquired through canny edge detector, after a series of morphological operations. Then we use SVM classifier with a multi-kernel model to train these features for shadow region classification. Our results show that edges of shadow images can be detected effectively with our methods. © (2014) Trans Tech Publications, Switzerland.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/15156
专题机器人学研究室
作者单位1.College of Information Science and Engineering, Shenyang Ligong University, Shenyang, 110159, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese academy of Sciences, Shenyang, 110016, China
3.State Grid Liaoning Electric Power Company limited Benxi Electric Power Supply Company, Benxi, 117000, China
推荐引用方式
GB/T 7714
Wang ZP,Tian JD,Tang YD,et al. Shadow detection using multi-features in SVM classifier[C]. Zurich-Durnten, Switzerland:Trans Tech Publications Ltd,2014:1680-1683.
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