Multi-object tracking (MOT) is a critical task in various domains, such as traffic analysis,
surveillance, and autonomous vehicles. The joint-detection-and-tracking paradigm has been …

Standard Multi-Object Tracking (MOT) frameworks are currently categorised into three
categories: tracking-by-detection, joint detection, and tracking and attention mechanisms …

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 …

The existing pedestrian tracking applications are challenging to balance real-time
performance and accuracy. We propose a detection–tracking–correction strategy based on …

Pedestrian multiobject tracking is the major research branch in the field of computer vision.
In complicated scenarios with frequent scale changes and occlusion, the existing multiobject …

Multi-object tracking is a significant field in computer vision since it provides essential
information for video surveillance and analysis. Several different deep learning-based …

Over the past few years, unmanned aerial vehicles (UAVs) or drones have been deployed
across the military services. At the same time, the civilian market has seen an exponential …

Vehicle tracking plays an important role in traffic surveillance systems in which efficient traffic
management is the main objective. During the last several decades, with the rapid growth of …

Abstract The Smart City is a hot topic at present. Pedestrian tracking and behavior analysis
play an important role in Smart City system. Therefore, it is urgent to design an universal and …

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