Deep Spatial Feature Reconstruction for Partial Person Reidentification: Alignment-free Approach
文献类型:会议论文
作者 | He LX(何凌霄)![]() ![]() ![]() ![]() |
出版日期 | 2018 |
会议日期 | 6.18-6.21 |
会议地点 | 美国盐湖城 |
英文摘要 | Partial person re-identification (re-id) is a challenging problem, where only several partial observations (images) of people are available for matching. However, few studies have provided flexible solutions to identifying a person in an image containing arbitrary part of the body. In this paper, we propose a fast and accurate matching method to address this problem. The proposed method leverages Fully |
源URL | [http://ir.ia.ac.cn/handle/173211/23698] ![]() |
专题 | 自动化研究所_智能感知与计算研究中心 |
作者单位 | 中科院自动化研究所 |
推荐引用方式 GB/T 7714 | He LX,Liang J,Li HQ,et al. Deep Spatial Feature Reconstruction for Partial Person Reidentification: Alignment-free Approach[C]. 见:. 美国盐湖城. 6.18-6.21. |
入库方式: OAI收割
来源:自动化研究所
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