Optical flow is considered an important step in many computer vision applications. Some
optical flow estimation approaches are mainly based on correlation, gradient and frequency …

Abstract Several Particle Filter (PF)-based methods for human tracking in thermal IR image
sequences have been proposed in the literature. Unfortunately, the majority of these …

Object tracking plays a crucial role in remote sensing for the unmanned aerial vehicle (UAV).
In recent years, deep learning contributes hugely to the visual object tracking, and one …

In the field of robot vision, object tracking plays an important role. We propose a method of
tracking object, where Kalman filter and optical flow are used to track moving object. To …

It is difficult to establish feature correspondences between distant viewpoints for panoramic
images. For reliable navigation and development a human-like capability of interaction with …

Abstract An improved SURF (Speeded-Up Robust Feature) algorithm is proposed to deal
with the time-consuming and low precision of positioning of industrial robot. Hessian matrix …

In order to overcome the problem of false tracking caused by similar pedestrian head
information in the process of pedestrian tracking, a pedestrian tracking algorithm based on …

The principal goal of this paper is to propose a technique that will allow extraction of human
body parameters from uncalibrated image, having some known reference height. Analysis …

抄録 In field sports, to realize tactical analysis, many techniques for athlete detection,
identification and tracking by analyzing videos have been developed. However, many …