The target of person re-identification (ReID) and gait recognition is consistent, that is to
match the target pedestrian under surveillance cameras. For the cloth-changing problem …

Person re-identification (re-ID) aims to match the same person across different cameras.
However, most existing re-ID methods assume that people wear the same clothes in …

Abstract Person re-identification (ReId), a crucial task in surveillance, involves matching
individuals across different camera views. The advent of Deep Learning, especially …

This paper proposes a novel Unified Feature Optimization (UFO) paradigm for training and
deploying deep models under real-world and large-scale scenarios, which requires a …

When deploying person re-identification (ReID) model in safety-critical applications, it is
pivotal to understanding the robustness of the model against a diverse array of image …

Existing person re-identification methods mainly focus on searching the target person across
disjoint camera views in a short period of time. With this setting, these methods rely on the …

Abstract Unsupervised Person Re-Identification (Re-ID) is challenging due to the lack of
ground-truth labels. Most existing methods address this problem by progressively mining …

The re-identification (ReID) of individuals over a complex| network of cameras is a
challenging task, especially| under real-world surveillance conditions. Several deep …

Smart City applications such as intelligent traffic routing, accident prevention or vehicle
surveillance rely on computer vision methods for exact vehicle localization and tracking …

Multi-view aggregation promises to overcome the occlusion and missed detection challenge
in multi-object detection and tracking. Recent approaches in multi-view detection and 3D …