The advances of Visual object tracking tasks in computer vision have enabled a growing
value in its application to video surveillance, particularly in a traffic scenario. In recent years …

Multi-target tracking, a high-level vision job in computer vision, is crucial to understanding
autonomous driving surroundings. Numerous top-notch multi-object tracking algorithms …

This article is a survey of deep learning methods for single and multiple sound source
localization, with a focus on sound source localization in indoor environments, where …

Abstract The problem of Multiple Object Tracking (MOT) consists in following the trajectory of
different objects in a sequence, usually a video. In recent years, with the rise of Deep …

Object tracking is a fundamental computer vision problem that refers to a set of methods
proposed to precisely track the motion trajectory of an object in a video. Multiple Object …

Due to its low transmit power and reduced aperture size of a receiving antenna array,
compact high-frequency surface wave radar (HFSWR) suffers from low detection probability …

Robust and reliable 3D multi-object tracking (MOT) is essential for autonomous driving in
crowded urban road scenes. In those scenarios, accurate data association between tracked …

In today's scenario, there are frequent events (viz. political rallies, live concerts, strikes,
sports meet) occur in which many people gather to participate in the event. In crowded areas …

Multi-object tracking (MOT) is a significant and widespread research field in image
processing and computer vision. The goal of the MOT task consists in predicting the …

The recent advancement in autonomous robotics is directed toward designing a reliable
system that can detect and track multiple objects in the surrounding environment for …