中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Histogram-based human segmentation technique for infrared images

文献类型:会议论文

作者Wu, Di1,2; Zhou, Zuofeng1; Yang, Hongtao1; Cao, Jianzhong1; Wu, Di (wudi@opt.cn)
出版日期2017
会议日期2016-08-13
会议地点Bhubaneswar, India
卷号555
DOI10.1007/978-981-10-3779-5_16
页码129-132
英文摘要

Human detection in infrared video surveillance system is a challenging issue of computer vision. Effective human segmentation plays an important role in human detection. However, occlusion between different people makes it difficult to segment human groups. In this paper, we propose a new method for infrared human segmentation based on the histogram information. After selecting regions of interest with background subtraction, each connected human region is separated into single ones by analyzing histogram trend and calculating peak number. Experiment results show the accuracy of our method. © 2017, Springer Nature Singapore Pte Ltd.

产权排序1
会议录Recent Developments in Intelligent Computing, Communication and Devices - Proceedings of ICCD 2016
会议录出版者Springer Verlag
语种英语
ISSN号21945357;2194-5365
ISBN号9789811037788
源URL[http://ir.opt.ac.cn/handle/181661/29238]  
专题西安光学精密机械研究所_动态光学成像研究室
通讯作者Wu, Di (wudi@opt.cn)
作者单位1.Xi’an Institute of Optics and Precision Mechanics of CAS, Xi’an; 710119, China
2.University of Chinese Academy of Sciences, Beijing; 100049, China
推荐引用方式
GB/T 7714
Wu, Di,Zhou, Zuofeng,Yang, Hongtao,et al. Histogram-based human segmentation technique for infrared images[C]. 见:. Bhubaneswar, India. 2016-08-13.

入库方式: OAI收割

来源:西安光学精密机械研究所

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