Due to its significant capability of modeling long-range dependencies, vision transformer
(ViT) has achieved promising success in both holistic and occluded person re-identification …

Person search is a computer vision task that aims to locate and re-identify specific
pedestrians in images captured by non-overlapping cameras. However, the identity …

In the upcoming 6G era, edge artificial intelligence (AI), as a key technology, will be able to
deliver AI processes anytime and anywhere by the deploying of AI models on edge devices …

The advancement in person re-identification using attribute recognition is constrained by the
increasingly strict data privacy standards since it necessitates the centralization of vast …

With their automatic feature extraction capabilities, deep learning models have become
more widespread in sensor-based human activity recognition, particularly on larger …

Person search, one of the increasingly important tasks of computer vision, performs
pedestrian localization and re-identification simultaneously. Several studies incorporate …

In this work, a novel distributed privacy-aware person search (PAPS) model has been
proposed which circumvents the privacy risks. An intelligent IoT surveillance system has …

Edge computing deploys edges close to end-users to provide highly accessible resources
and latency-sensitive services. It is invaluable for urban crowd/hazard management …

In this work, an efficient and real-time person re-identification system based on an affordable
hybrid framework was presented. The proposed pipeline consisting of human detecting …

Person re-identification (Re-ID) aims to search for a target person through non-overlapping
cameras. With the rapid development of computing and storage capacity of edge sensors …