Person re-identification (re-id) aims to match people across non-overlapping camera views.
So far the RGB-based appearance is widely used in most existing works. However, when …

We address the problem of person re-identification from commodity depth sensors. One
challenge for depth-based recognition is data scarcity. Our first contribution addresses this …

Variations in visual factors such as viewpoint, pose, illumination and background, are
usually viewed as important challenges in person re-identification (re-ID). In spite of …

The challenge of person re-identification (re-id) is to match individual images of the same
person captured by different nonoverlapping camera views against significant and unknown …

Person re-identification (re-id) consists of associating individual across camera network,
which is valuable for intelligent video surveillance and has drawn wide attention. Although …

Person re-identification (re-ID) has been a popular topic in computer vision and pattern
recognition communities for a decade. Several important milestones such as metric-based …

Person Re-identification (re-id) aims to match people across non-overlapping camera views
in a public space. It is a challenging problem because many people captured in surveillance …

Person reidentification consists of recognizing individuals across different sensors of a
camera network. Whereas clothing appearance cues are widely used, other modalities …

While metric learning is important for Person re-identification (RE-ID), a significant problem
in visual surveillance for cross-view pedestrian matching, existing metric models for RE-ID …

Person re-identification (Re-ID) aims to match pedestrians under dis-joint cameras. Most Re-
ID methods formulate it as visual representation learning and image search, and its …