Aiming at the problem of insufficient tracking accuracy caused by object occlusion in the
process of multi-object tracking, this paper proposes a multi-order semantic fusion …

Due to the problem of low tracking accuracy and weak tracking stability of current multi-
object pedestrian tracking algorithms in complex scenes for videos, a Detection-based …

Multi-object tracking (MOT) is mainly used for detecting and tracking the object on multi-
cameras, which is widely applied in intelligent video surveillance and intelligent security …

Multi-object tracking (MOT) is one of the most challenging tasks in the field of computer
vision. Most MOT methods generally face the problem of not being able to handle pedestrian …

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

An end-to-end chained network with multi-feature fusion is proposed for the trade-off of
tracking speed and accuracy, which integrates target detection, feature extraction and data …

Pedestrian multi-object tracking is an important research direction in the fields of computer
vision which has been widely applied in intelligent surveillance, human-computer interaction …

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 …

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 …

The intelligent vehicle driverless technology has become a very hot topic in the past two
decades. To solve the road safety problem, the multi-target tracking system has attracted …