The existing pedestrian target recognition algorithms often suffer from insufficient
classification decision, which affects the accuracy of tracking. This paper proposes an …

Manifold learning has been a popular method in many areas such as classification and
recognition. In this paper, we propose a novel algorithm for pedestrian tracking based on our …

Pedestrian tracking is a particular object tracking problem and an important component in
various vision-based applications, such as autonomous cars and surveillance systems …

In order to solve the problem that pedestrian tracking accuracy is not high and identity
exchange is frequent in complex road environments, this paper proposes an improved …

Pedestrian tracking technique is now widely used in many intelligent systems, such as video
surveillance, security regions. But many methods suffer from illumination, human posture or …

Abstract Pedestrian Detection Technology has become a hot research topic in target
detection field recent years. But how to track the pedestrian target accurately in real time is …

A novel particle filtering algorithm based on high-order cumulants is proposed for pedestrian
tracking to overcome the object occlusion problem. In the proposed algorithm, principal …

Multi-target tracking is a complex problem in computer vision, involving occlusion, target
trajectory disappearance, etc. In response to these questions, we first propose a trajectory …

The existing pedestrian tracking algorithms are still challenging under abrupt illumination,
occlusions, out of field of view, and cluttered backgrounds. In this paper, we propose a novel …

Public security monitoring is a hot issue that the government and citizens pay close attention
to. Multiobject tracking plays an important role in solving many problems for public security …