The tracking of a particular pedestrian is an important issue in computer vision to guarantee
societal safety. Due to the limited computing performances of unmanned aerial vehicle …

Pedestrian tracking is an important research content in the field of computer vision. Tracking
is achieved by predicting the position of a specific pedestrian in each frame of a video …

Aiming at the serious occlusion and slow tracking speed in pedestrian target tracking and
recognition in complex scenes, a target tracking method based on improved YOLO v5 …

Visual object tracking is a significant technology for camera-based sensor networks
applications. Multilayer convolutional features comprehensively used in correlation filter …

The Efficient Convolution Operators for Tracking (ECO) algorithm has garnered
considerable attention in both academic research and practical applications due to its …

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 …

Recently, visual tracking has been widely concerned in computer vision applications such
as behavior analysis, autonomous driving with advanced trackers. Some trackers based on …

UAVs have entered various fields of life, and object tracking is one of the key technologies
for UAV applications. However, there are various challenges in practical applications, such …

Real-time object tracking and occlusion handling are critical research areas in computer
vision and machine learning. Developing an efficient and accurate object-tracking method …

Recent discriminative trackers especially based on Correlation Filters (CFs) have shown
dominant performance for visual tracking. This kind of trackers benefit from multi-resolution …