439 citations · 1.1k across the 32 of their papers we have counts for
4 papers · 1 filter
Multi-Target, Multi-Camera Tracking by Hierarchical Clustering: Recent Progress on DukeMTMC Project
Zhimeng Zhang, Jianan Wu, Xuan Zhang +1
Although many methods perform well in single camera tracking, multi-camera tracking remains a challenging problem with less attention. DukeMTMC is a large-scale, well-annotated mul…
SOT for MOT
Qizheng He, Jianan Wu, Gang Yu +1
In this paper we present a robust tracker to solve the multiple object tracking (MOT) problem, under the framework of tracking-by-detection. As the first contribution, we innovativ…
AlignedReID: Surpassing Human-Level Performance in Person Re-Identification
Xuan Zhang, Hao Luo, Xing Fan +6
In this paper, we propose a novel method called AlignedReID that extracts a global feature which is jointly learned with local features. Global feature learning benefits greatly fr…
Margin Sample Mining Loss: A Deep Learning Based Method for Person Re-identification
Qiqi Xiao, Hao Luo, Chi Zhang
Person re-identification (ReID) is an important task in computer vision. Recently, deep learning with a metric learning loss has become a common framework for ReID. In this paper,…