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 …

In this paper, we propose a biologically inspired appearance model for robust visual
tracking. Motivated in part by the success of the hierarchical organization of the primary …

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 …

The advent of low-cost depth cameras, such as the Microsoft Kinect in the consumer market,
has made many indoor applications and games based on motion tracking available to the …

In multicamera video surveillance, it is challenging to represent videos from different
cameras properly and fuse them efficiently for specific applications such as human activity …

Recently, support vector ranking (SVR) has been adopted to address the challenging
person reidentification problem. However, the ranking model based on ordinary global …

Action recognition has attracted increasing interest in computer vision due to its potential
applications in many vision systems. One of the main challenges in action recognition is to …

Sketch recognition remains a significant challenge due to the limited training data and the
substantial intra-class variance of freehand sketches for the same object. Conventional …

Aiming at an efficient feature match and similarity search in visual tracking, this study
proposes a tracking algorithm based on quantum genetic algorithm. Therein, the global …

Moving vehicle detection plays an important role in intelligent transportation systems. One of
the common methods used in moving vehicle detection is optical flow. However …