Salient Color Names for Person Re-identification

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 生物识别与安全技术

	Salient Color Names for Person Re-identification
	Yang Yang; Jimei Yang; Junjie Yan; Shengcai Liao; Dong Yi; Stan Z. Li
	2014
会议名称	Computer Vision – ECCV 2014
会议录名称	European Conference on Compter Vision (ECCV)
页码	536-551
会议日期	2014
会议地点	Zurich
摘要	Color naming, which relates colors with color names, can help people with a semantic analysis of images in many computer vision applications. In this paper, we propose a novel salient color names based color descriptor (SCNCD) to describe colors. SCNCD utilizes salien- t color names to guarantee that a higher probability will be assigned to the color name which is nearer to the color. Based on SCNCD, col- or distributions over color names in dierent color spaces are then ob- tained and fused to generate a feature representation. Moreover, the eect of background information is employed and analyzed for person re-identication. With a simple metric learning method, the proposed approach outperforms the state-of-the-art performance (without user's feedback optimization) on two challenging datasets (VIPeR and PRID 450S). More importantly, the proposed feature can be obtained very fast if we compute SCNCD of each color in advance.
关键词	Salient Color Names Person Re-identification
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/4456
专题	多模态人工智能系统全国重点实验室_生物识别与安全技术
通讯作者	Stan Z. Li
推荐引用方式 GB/T 7714	Yang Yang,Jimei Yang,Junjie Yan,et al. Salient Color Names for Person Re-identification[C],2014:536-551.

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
ECCV14.pdf（814KB）	会议论文		开放获取	CC BY-NC-SA	浏览下载