To intelligently analyze and understand video content, a key step is to accurately perceive
the motion of the interested objects in videos. To this end, the task of object tracking, which …

The low-cost depth cameras have facilitated the research of human action recognition in the
last decades. Despite various approaches have been presented to improve the recognition …

Sparse representation-based visual tracking approaches have attracted increasing interests
in the community in recent years. The main idea is to linearly represent each target …

Motion models have been proved to be a crucial part in the visual tracking process. In recent
trackers, particle filter and sliding windows-based motion models have been widely used …

Tracking target of interests is an important step for motion perception in intelligent video
surveillance systems. While most recently developed tracking algorithms are grounded in …

In the past few years, visual tracking methods with convolution neural networks (CNNs) have
gained great popularity and success. However, the convolution operation of CNNs struggles …

Visual tracking is a central topic in computer vision. However, the accurate localization of
target object in extreme conditions (such as occlusion, scaling, illumination change, and …

Video-based vehicle detection and tracking is one of the most important components for
intelligent transportation systems. When it comes to road junctions, the problem becomes …

For autonomous driving application, a car shall be able to track objects in the scene in order
to estimate where and how they will move such that the tracker embedded in the car can …

An event camera is a novel bio-inspired sensor that effectively compensates for the
shortcomings of current frame cameras, which include high latency, low dynamic range …