Multiple object tracking is a fundamental task in computer vision with significant implications
for various applications, including traffic monitoring, autonomous driving, and video …

Multiple-object tracking is a fundamental computer vision task which is gaining increasing
attention due to its academic and commercial potential. Multiple-object detection …

Multi-object tracking (MOT) becomes an attractive topic due to its wide range of usability in
video surveillance and traffic monitoring. Recent improvements on MOT has focused on …

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 …

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 …

Objective of multiple object tracking (MOT) is to assign a unique track identity for all the
objects of interest in a video, across the whole sequence. Tracking-by-detection is the most …

In this paper, multiple-object vehicle tracking system by affinity matching using min-cost
linear cost assignment is proposed. This tracking system is targeted to scene recordings …

Object tracking has gained importance in various applications especially in traffic
monitoring, surveillance and security, people tracking, etc. Previous methods of multiobject …

Collaborative Robotics is one of the high-interest research topics in the area of academia
and industry. It has been progressively utilized in numerous applications, particularly in …

Standardized benchmarks have been crucial in pushing the performance of computer vision
algorithms, especially since the advent of deep learning. Although leaderboards should not …