Adaptive Multi-Metric Fusion for Person Re-identification

摘要：

　　Person re-identification,which aims at recognizing a person of interest across spatially disjoint camera views,is still a challenging task.Plenty of approaches emerge in recent years and some of them achieve good matching results.Given a probe image,we observe that the ranking results generated by different approaches differ from each other.Considering these conventional methods are reasonable,we propose an Adaptive Multi-Metric Fusion(AMMF)method which fuses the existing ranking results with query-specific weights.Experiments on two challenging databases,VIPeR and ETHZ,demonstrate that the proposed method achieves further performance improvement.

关键词： Person re-identification Fusion Multi-metric Re-ranking

作者: Penglin Li Mengxue Liu Yun Gu Lixiu Yao Jie Yang

作者单位: Institute of Image Processing and Pattern Recognition,Shanghai Jiao Tong University,800,Dongchuan Ro School of Biomedical Engineering,Shanghai Jiao Tong University,800,Dongchuan Road,Shanghai 200240,Ch

会议类型: 国际会议

会议名称: 第七届全国模式识别学术会议(The 7th Chinese Conference on Pattern Recognition,CCPR2016)

会议地点: 成都

会议语种:英文

页码: 258-267

在线出版日期: 2016-11-03（万方平台首次上网日期，不代表论文的发表时间）