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 …

In order to augment the robustness of pedestrian tracking in video sequences, we offer an
enhanced automatic pedestrian tracking method that is based on the ByteTrack framework …

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

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

With the development and integration of big data and artificial intelligence, intelligent
transportation, video surveillance, and other fields are receiving increasing attention. In the …

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 significant domain in Computer vision applications, which involves
giving unique identities to different objects, and maintaining the association between them …

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

Target detection and tracking are crucial in autonomous driving and intelligent
transportation, especially in pedestrians and traffic safety. The dynamic pedestrian tracking …

Target detection and target tracking play an important role in many scenes. For example,
intelligent monitoring, multi-target tracking in complex environments. This paper designs a …