Person re-identification: A retrospective on domain specific open challenges and future trends
Abstract Person Re-Identification (Re-ID) is a critical aspect of visual surveillance systems,
which aims to automatically recognize and locate individuals across a multi-camera network …
which aims to automatically recognize and locate individuals across a multi-camera network …
A survey of zero-shot learning: Settings, methods, and applications
Most machine-learning methods focus on classifying instances whose classes have already
been seen in training. In practice, many applications require classifying instances whose …
been seen in training. In practice, many applications require classifying instances whose …
A discriminatively learned cnn embedding for person reidentification
In this article, we revisit two popular convolutional neural networks in person re-identification
(re-ID): verification and identification models. The two models have their respective …
(re-ID): verification and identification models. The two models have their respective …
Learning to reduce dual-level discrepancy for infrared-visible person re-identification
Abstract Infrared-Visible person RE-IDentification (IV-REID) is a rising task. Compared to
conventional person re-identification (re-ID), IV-REID concerns the additional modality …
conventional person re-identification (re-ID), IV-REID concerns the additional modality …
Pedestrian alignment network for large-scale person re-identification
Person re-identification (re-ID) is mostly viewed as an image retrieval problem. This task
aims to search a query person in a large image pool. In practice, person re-ID usually adopts …
aims to search a query person in a large image pool. In practice, person re-ID usually adopts …
Literature survey on multi-camera system and its application
A multi-camera system combines features from different cameras to exploit a scene of an
event to increase the output image quality. The combination of two or more cameras …
event to increase the output image quality. The combination of two or more cameras …
Hierarchical discriminative learning for visible thermal person re-identification
Person re-identification is widely studied in visible spectrum, where all the person images
are captured by visible cameras. However, visible cameras may not capture valid …
are captured by visible cameras. However, visible cameras may not capture valid …
[PDF][PDF] Visible thermal person re-identification via dual-constrained top-ranking.
Cross-modality person re-identification between the thermal and visible domains is
extremely important for night-time surveillance applications. Existing works in this filed …
extremely important for night-time surveillance applications. Existing works in this filed …
Bi-directional center-constrained top-ranking for visible thermal person re-identification
Visible thermal person re-identification (VT-REID) is a task of matching person images
captured by thermal and visible cameras, which is an extremely important issue in night-time …
captured by thermal and visible cameras, which is an extremely important issue in night-time …
Learning disentangled representation implicitly via transformer for occluded person re-identification
Person re-IDentification (re-ID) under various occlusions has been a long-standing
challenge as person images with different types of occlusions often suffer from misalignment …
challenge as person images with different types of occlusions often suffer from misalignment …