Abrupt motions commonly cause conventional tracking methods to fail because they violate
the motion smoothness constraint. To overcome this problem, we propose a novel SIFT flow …

The conventional tracking-learning-detection (TLD) algorithm is sensitive to illumination
changes, clutter, significant changes of target shape between consecutive frames. In …

Skin color is one of most important source of information widely used in Human-Computer
Interaction (HCI) system where detecting the presence of the human plays a key role. It is …

Traditional tracking methods place an emphasis on how to cope with the variations in target
appearance effectively. However, when the motion displacement of the target between …

All available methods for tracking motion objects in videos have several challenges in many
situations yet. For example, Particle filter methods cannot track objects that have variable …

In recent years, the visual object tracking has drawn increasing interests. There are many
applications, eg, video surveillance in airports, schools, hospitals and traffic. The object …

A new adaptive kernel‐based target tracking method is proposed to improve the robustness
and accuracy of target tracking in a complex background. A linear weighted combination of …

Automatically detecting and tracking crossing lane line vehicles in the illegal situation is an
important part of E-police system. However, till now, there is few research works reported for …

Conventional tracking methods rarely consider abrupt motions and easily fail to track the
abrupt motion of an object because they are based on the assumption of smooth motion. To …

The growth in the number of surveillance cameras deployed and the progress in digital
technologies in recent years have steered the video surveillance market towards the usage …