Effective collision risk reduction in autonomous vehicles relies on robust and straightforward
pedestrian tracking. Challenges posed by occlusion and switching scenarios significantly …

Multi-object pedestrian tracking plays a crucial role in autonomous driving systems, enabling
accurate perception of the surrounding environment. In this paper, we propose a …

Multi-object tracking is a crucial aspect of perception in the area of computer vision, widely
used in autonomous driving, behavior recognition, and other areas. The complex and …

Pedestrian tracking is an important aspect of autonomous vehicles environment perception
in a vehicle running environment. The performance of the existing pedestrian tracking …

In recent years, several methods and datasets have been proposed to push the performance
of pedestrian detection in crowded scenarios. In this study, three crowd-specific detectors …

Multi-object tracking is a research hotspot in intelligent driving scenarios, and the trajectory
association of tracked objects is one of the hotspots that needs to be solved urgently. The …

In this paper, we address various challenges in multi-pedestrian and vehicle tracking in high-
resolution aerial imagery by intensive evaluation of a number of traditional and Deep …

Pedestrian tracking and detection have become critical aspects of advanced driver
assistance systems (ADASs), due to their academic and commercial potential. Their …

In this paper, we address various challenges in multi-pedestrian and vehicle tracking in high-
resolution aerial imagery by intensive evaluation of a number of traditional and Deep …

Multi-object tracking is a vital component in various robotics and computer vision
applications. However, existing multi-object tracking techniques trade off computation …