… Abstract—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 …

Person re-identification (re-ID) has become increasingly popular in the community due to its
application and research significance. It aims at spotting a person of interest in other …

… , mechanisms for pedestrian detection to help improve overall re-identification (re-ID) accuracy
and assessing the … Person re-identification (re-ID) aims to find occurrences of a query …

A fundamental task for a distributed multi-camera system is to associate people across
camera views at different locations and times. In a crowded and uncontrolled environment …

… This paper contributes a new high quality dataset for person re-identification, named “Market-1501”.
Generally, current datasets: 1) are limited in scale; 2) consist of hand-drawn bboxes, …

… State-of-the-art person re-identification methods seek robust person matching through
combining various feature types. Often, these features are implicitly assigned with a single vector …

… uncertainty in a person's appearance across different cameras. … in them that does not aid
re-identification. The spatial or temporal … the problem of person re-identification and discuss the …

… In this paper, we propose a deep neural network architecture that formulates the problem
of person re-identification as binary classification. Given an input pair of images, the task is to …

… We have considered a new and more realistic person reidentification challenge: the partial
person re-identification problem. To address the unique challenges associated with this new …

… When performing person reidentification, human experts seek … thus far not been exploited
for re-identification. Crucially, these … features to provide powerful re-identification capabilities. …