Artificial intelligence-based surveillance system, one of the essential systems for smart cities,
plays a critical role in ensuring the safety and well-being of individuals. In this paper, we …

Multi-object tracking (MOT) has been dominated by the use of track by detection approaches
due to the success of convolutional neural networks (CNNs) on detection in the last decade …

Multi-object tracking in dense scenes has always been a major difficulty in this field.
Although some existing algorithms achieve excellent results in multi-object tracking, they fail …

Multi-object Tracking is an important issue that has been widely investigated in computer
vision. However, in practical applications, moving targets are often occluded due to complex …

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 …

Video-based multiple object tracking (MOT) is a fundamental task in intelligent transportation
with applications ranging from automated traffic surveillance to autonomous driving. MOT …

Real-time multi-object tracking (MOT) is a complex task involving detecting and tracking
multiple objects. After the objects are detected, they are assigned markers, and their …

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 …

Multi-pedestrian tracking (MPT) on the road is closely related to a reduction in the possibility
of pedestrian-vehicle collisions when using advanced driver assistance systems. Therefore …

Multiple object tracking is a fundamental task in computer vision with significant implications
for various applications, including traffic monitoring, autonomous driving, and video …