Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-
overlapping cameras. With the advancement of deep neural networks and increasing …

Person re-identification (Re-ID) technology plays an increasingly crucial role in intelligent
surveillance systems. Widespread occlusion significantly impacts the performance of person …

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 from local …

摘要行人重识别是计算机视觉领域近年来非常热的一个研究课题, 可以被视为图像检索的一个子
问题, 其目标是给定一个监控行人图像检索跨设备下的该行人图像. 传统的方法依赖手工特征 …

Person search aims to simultaneously localize and identify a query person from realistic,
uncropped images, which can be regarded as the unified task of pedestrian detection and …

Person re-identification has achieved great progress with deep convolutional neural
networks. However, most previous methods focus on learning individual appearance feature …

The goal of person search is to localize a target person from a gallery set of scene images,
which is extremely challenging due to large scale variations, pose/viewpoint changes, and …

In this work, we tackle the problem of person search, which is a challenging task consisted of
pedestrian detection and person re-identification~(re-ID). Instead of sharing representations …

Abstract Many current successful Person Re-Identification (ReID) methods train a model with
the softmax loss function to classify images of different persons and obtain the feature …

In various examples, detected object data representative of locations of detected objects in a
field of view may be determined. One or more clusters of the detected objects may be …