Abstract Multiple Object Tracking (MOT) has gained increasing attention due to its academic
and commercial potential. Although different approaches have been proposed to tackle this …

In this paper, we focus mainly on designing a Multi-Target Object Tracking algorithm that
would produce high-quality trajectories while maintaining low computational costs. Using …

Intelligent surveillance system (ISS) has received growing attention due to the increasing
demand on security and safety. ISS is able to automatically analyze image, video, audio or …

Tracking in urban street scenes plays a central role in autonomous systems such as self-
driving cars. Most of the current vision-based tracking methods perform tracking in the image …

Abstract Service robots have to robustly follow and interact with humans. In this paper, we
propose a very fast multi-people tracking algorithm designed to be applied on mobile …

This paper proposes a very fast and robust multi-people tracking algorithm suitable for
mobile platforms equipped with a RGB-D sensor. Our approach features a novel depth …

Over the years, object tracking and detection has emerged as one of the most important
aspects of UAV applications such as surveillance, reconnaissance, etc. In our paper, we …

OpenPTrack is an open source software for multi-camera calibration and people tracking in
RGB-D camera networks. It allows to track people in big volumes at sensor frame rate and …

The ability to track multiple objects is crucial for roadside units to provide high-precision,
trajectory-based traffic data, especially for connected vehicles that require complementary …

Traditional multiple object tracking methods divide the task into two parts: affinity learning
and data association. The separation of the task requires to define a hand-crafted training …