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 …

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 …

Numerous object-tracking and multiple-person-tracking algorithms have been developed in
the field of computer vision, but few trackers can properly address the issue of when a …

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

This paper presents a dynamic representation-based tracker (DRT) to handle occlusions in
the long-term pedestrian tracking of a single target. In our DRT, an adaptive representation …

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

Due to balanced tracking accuracy and speed, Joint-detection-and-embedding (JDE)
tracking paradigm has drawn great attention, which employs a single work to predict …

Aiming at the problems of frequent identity switches (IDs) and trajectory interruption of multi-
pedestrian tracking algorithms in dense scenes, this paper proposes a multi-pedestrian …

In this paper, a pedestrian tracking algorithm based on anchor free CBAM (Convolutional
Block Attention Module) convolutional attention mechanism network is proposed to solve the …

Multiobject tracking (MOT) in video sequences has gradually become one of the most
essential fields in computer vision tasks. As the use of two separate models for feature …