The need for recognizing people across distributed surveillance cameras leads to the
growth of recent research interest in person re-identification. Person re-identification aims at …

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 …

In this article, we introduce a method to overcome one of the main challenges of person
reidentification in multicamera networks, namely cross-view appearance changes. The …

This paper presents a neuromorphic person re-identification (NPReId) framework to
establish the correspondence among individuals observed across two disjoint camera …

Person re-identification (PRID) is integral to many smart surveillance systems. However,
owing to the visual ambiguities arising from the variability in viewing angles and illumination …

Person reidentification has attracted extensive research efforts in recent years. It is
challenging due to the varied visual appearance from illumination, view angle, background …

Tracking multiple targets across nonoverlapping cameras aims at estimating the trajectories
of all targets, and maintaining their identity labels consistent while they move from one …

Siamese networks are prevalent in person re-identification (re-id) tasks to address the
similarity and dissimilarity among video frames. It mainly focuses on the inter-video variation …

To tackle the re-identification challenges existing methods propose to directly match image
features or to learn the transformation of features that undergoes between two cameras …

Matching people in different camera views, commonly referred to as person re-identification,
is an inherently challenging task due to the appearance disparity caused by view change …