Object tracking is a computer vision problem that gained attention in the past few decades.
Numerous algorithms targeting various challenges associated with object tracking have …

Abstract Multi-Camera Multi-Vehicle Tracking (MCMVT) is an essential task in the field of city-
scale traffic management, which usually consists of three sub-tasks: object detection and re …

Aerial surveillance systems are a cost-effective and on-demand solution for smart city
monitoring. However, the deployment of a swarm of unmanned aerial vehicles (UAVs) for …

As the Internet-of-Things (IoT) and edge computing have been major paradigms for
distributed data collection, communication, and processing, smart city applications in the …

With the demands of the intelligent city and city-scale traffic management, city-scale multi-
camera vehicle tracking (MCVT) has become a vital problem. The MCVT is challenging due …

The rapid developments in the field of Artificial Intelligence are bringing enhancements in
the area of intelligent transport systems by overcoming the challenges of safety concerns …

We present a novel, real-time algorithm to track the trajectory of each pedestrian in
moderately dense crowded scenes. Our formulation is based on an adaptive particle-filtering …

It is a nontrivial task to manage crowds in public places and recognize unacceptable
behavior (such as violating social distancing norms during the COVID-19 pandemic). In such …

Existing multi target multi camera tracking (MTMCT) datasets are small in terms of the
number of identities and video lengths. The creation of new real world datasets is hard as …

Multi-camera multiple people tracking has become an increasingly important area of
research due to the growing demand for accurate and efficient indoor people tracking …