Deep learning for person re-identification: A survey and outlook
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 …
overlapping cameras. With the advancement of deep neural networks and increasing …
Deep learning in multi-object detection and tracking: state of the art
Object detection and tracking is one of the most important and challenging branches in
computer vision, and have been widely applied in various fields, such as health-care …
computer vision, and have been widely applied in various fields, such as health-care …
Motiontrack: Learning robust short-term and long-term motions for multi-object tracking
The main challenge of Multi-Object Tracking (MOT) lies in maintaining a continuous
trajectory for each target. Existing methods often learn reliable motion patterns to match the …
trajectory for each target. Existing methods often learn reliable motion patterns to match the …
Bayesian loss for crowd count estimation with point supervision
In crowd counting datasets, each person is annotated by a point, which is usually the center
of the head. And the task is to estimate the total count in a crowd scene. Most of the state-of …
of the head. And the task is to estimate the total count in a crowd scene. Most of the state-of …
Mask-guided contrastive attention model for person re-identification
Abstract Person Re-identification (ReID) is an important yet challenging task in computer
vision. Due to the diverse background clutters, variations on viewpoints and body poses, it is …
vision. Due to the diverse background clutters, variations on viewpoints and body poses, it is …
Unsupervised domain adaptation with noise resistible mutual-training for person re-identification
Unsupervised domain adaptation (UDA) in the task of person re-identification (re-ID) is
highly challenging due to large domain divergence and no class overlap between domains …
highly challenging due to large domain divergence and no class overlap between domains …
Features for multi-target multi-camera tracking and re-identification
Abstract Multi-Target Multi-Camera Tracking (MTMCT) tracks many people through video
taken from several cameras. Person Re-Identification (Re-ID) retrieves from a gallery images …
taken from several cameras. Person Re-Identification (Re-ID) retrieves from a gallery images …
A pose-sensitive embedding for person re-identification with expanded cross neighborhood re-ranking
MS Sarfraz, A Schumann, A Eberle… - Proceedings of the …, 2018 - openaccess.thecvf.com
Person re-identification is a challenging retrieval task that requires matching a person's
acquired image across non-overlapping camera views. In this paper we propose an effective …
acquired image across non-overlapping camera views. In this paper we propose an effective …
Dual attention matching network for context-aware feature sequence based person re-identification
Typical person re-identification (ReID) methods usually describe each pedestrian with a
single feature vector and match them in a task-specific metric space. However, the methods …
single feature vector and match them in a task-specific metric space. However, the methods …
Pose transferrable person re-identification
Person re-identification (ReID) is an important task in the field of intelligent security. A key
challenge is how to capture human pose variations, while existing benchmarks (ie …
challenge is how to capture human pose variations, while existing benchmarks (ie …