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 …
[HTML][HTML] Multi-camera multi-object tracking: a review of current trends and future advances
The nascent applicability of multi-camera tracking (MCT) in numerous real-world
applications makes it a significant computer vision problem. While visual tracking of objects …
applications makes it a significant computer vision problem. While visual tracking of objects …
Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline)
Employing part-level features offers fine-grained information for pedestrian image
description. A prerequisite of part discovery is that each part should be well located. Instead …
description. A prerequisite of part discovery is that each part should be well located. Instead …
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 …
Performance measures and a data set for multi-target, multi-camera tracking
To help accelerate progress in multi-target, multi-camera tracking systems, we present (i) a
new pair of precision-recall measures of performance that treats errors of all types uniformly …
new pair of precision-recall measures of performance that treats errors of all types uniformly …
Person re-identification: Past, present and future
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 …
application and research significance. It aims at spotting a person of interest in other …
Mars: A video benchmark for large-scale person re-identification
This paper considers person re-identification (re-id) in videos. We introduce a new video re-
id dataset, named M otion A nalysis and R e-identification S et (MARS), a video extension of …
id dataset, named M otion A nalysis and R e-identification S et (MARS), a video extension of …
Scalable person re-identification: A benchmark
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 …
1501". Generally, current datasets: 1) are limited in scale; 2) consist of hand-drawn bboxes …
Person re-identification in the wild
This paper presents a novel large-scale dataset and comprehensive baselines for end-to-
end pedestrian detection and person recognition in raw video frames. Our baselines …
end pedestrian detection and person recognition in raw video frames. Our baselines …
Second-order non-local attention networks for person re-identification
Recent efforts have shown promising results for person re-identification by designing part-
based architectures to allow a neural network to learn discriminative representations from …
based architectures to allow a neural network to learn discriminative representations from …