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

Although the accuracy of existing neural network models is high, in pedestrian tracking
tasks, due to the uncertainty of targets, when tracking new targets, it is necessary to fine-tune …

Various problems afflict the complex network structures that are implemented in pedestrian
detection and tracking applications, including a large number of parameters, lengthy training …

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 task in the field of computer vision and is the basis for
other advanced vision tasks such as human pose estimation, motion recognition and …

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 …

Pedestrian tracking is an essential issue in the field of computer vision. Pedestrian tracking
can be applied to safety monitoring in public places, such as airports, stations, shopping …

Pedestrian target tracking is an important problem in the field of computer vision. To address
low tracking accuracy and tracking errors in pedestrian target tracking. This paper …

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

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 …