This article presents real-time edge video analytics for multicamera privacy-aware
pedestrian tracking (REVAMP 2 T), as an integrated end-to-end Internet of Things (IoT) …

In this work, a real-time end-to-end person re-identification (Re-ID) system is developed for a
realistic unconstrained open-world environment. The raw surveillance videos are analyzed …

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 …

The planning of public transport operations is an essential component of urban transport
management systems that aims to provide the most efficient, safe and effective way to …

Edge artificial intelligence hardware targets mainly inference networks that have been
pretrained on massive datasets. The field of few-shot learning looks for methods that allow a …

Concerning Artificial Intelligence (AI)-based applications, it is necessary to reduce latency in
real-time inference. This paper implements and compares two separate models, Inception …

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 …

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 …

Individual re-identification proof (Re-ID) targets recovering an individual of interest across
different non-covering cameras. With the recent development of technological algorithm and …

This dissertation presents a comprehensive exploration of innovative approaches and
systems at the intersection of edge computing, deep learning, and real-time video analytics …