Vehicle detection based on semantic component analysis

OPT OpenIR > 光谱成像技术研究室

	Vehicle detection based on semantic component analysis
	Cui, Guosheng; Wang, Qi; Yuan, Yuan
	2014
会议名称	6th International Conference on Internet Multimedia Computing and Service, ICIMCS 2014
会议录名称	ICIMCS 2014 - Proceedings of the 6th International Conference on Internet Multimedia Computing and Service
页码	172-176
会议日期	2014-07-10
会议地点	Xiamen, China
出版者	Association for Computing Machinery
会议主办者	National Natural Foundation of China; SIGMM China Chapter; Xiamen University
产权排序	1
摘要	Vehicle detection is a hot topic in trafic monitoring applications. Though many researchers has done a lot work towards this direction, the detection in occluded conditions is rarely explored and it still remains a challenge. In this work, we focus on the occlusion problem in vehicle detection and propose a novel method based on semantic component analysis and scale consideration. Two contributions are claimed in this procedure: 1) Tackling vehicle detection by semantic component detection and synthesis. 2) Addressing the scale variation of vehicles by simple yet effective standard component definition. The experimental results on two typical surveillance videos show that the proposed method can effectively detect the vehicles in the crowded trafic conditions with occlusion. Copyright 2014 ACM.
作者部门	光学影像学习与分析中心
收录类别	EI
语种	英语
文献类型	会议论文
条目标识符	http://ir.opt.ac.cn/handle/181661/22635
专题	光谱成像技术研究室
推荐引用方式 GB/T 7714	Cui, Guosheng,Wang, Qi,Yuan, Yuan. Vehicle detection based on semantic component analysis[C]:Association for Computing Machinery,2014:172-176.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Vehicle detection ba（576KB）			限制开放	CC BY-NC-SA	请求全文