We formulate camera and LiDAR fusion tracking as a sequential decision-making process.
With our deep reinforcement learning framework, we try to optimize the tracking trajectory to …

Abstract Multi-Camera People Tracking (MCPT) is a crucial task in intelligent surveillance
systems. However, it presents significant challenges due to issues such as heavy occlusion …

Multi-pedestrian tracking (MPT) on the road is closely related to a reduction in the possibility
of pedestrian-vehicle collisions when using advanced driver assistance systems. Therefore …

Vehicle counting from an unmanned aerial vehicle (UAV) is becoming a popular research
topic in traffic monitoring. Camera mounted on UAV can be regarded as a visual sensor for …

We present a realtime tracking algorithm, Road-Track, to track heterogeneous road-agents
in dense traffic videos. Our approach is designed for dense traffic scenarios that consist of …

As aerial mobile receivers, unmanned aerial vehicles (UAVs) possess the capability to
localize and track dynamically moving objects that broadcast signals. In practice, the …

Sustainable transportation systems are necessary to accommodate the rising need for
mobility while minimizing the possible adverse social, economic, and environmental effects …

Aiming at the problems of frequent identity switches (IDs) and trajectory interruption of multi-
pedestrian tracking algorithms in dense scenes, this paper proposes a multi-pedestrian …

Abstract Multi-Target Multi-Camera tracking (MTMC) is an essential task in the intelligent city
and traffic analysis. It is a great challenging task due to several problems such as heavy …

Multi-target multi-camera (MTMC) tracking is one of the important fields in computer vision,
where multiple objects are tracked across multiple cameras. MTMC tracking can be applied …