Visual analysis of human motion is currently one of the most active research topics in
computer vision. This strong interest is driven by a wide spectrum of promising applications …

This report contains a review of visual tracking in monocular video sequences. For the
purpose of this review, the majority of the visual trackers in the literature are divided into …

Color-based trackers recently proposed in [3, 4, 5] have been proved robust and versatile for
a modest computational cost. They are especially appealing for tracking tasks where the …

Automatic analysis of human facial expression is a challenging problem with many
applications. Most of the existing automated systems for facial expression analysis attempt to …

We propose a new method for object tracking in image sequences using template matching.
To update the template, appearance features are smoothed temporally by robust Kalman …

Visual features are commonly modeled with probability density functions in computer vision
problems, but current methods such as a mixture of Gaussians and kernel density estimation …

The main objective of higher education is to provide quality education to students. One way
to achieve highest level of quality in higher education system is by discovering knowledge …

One of the most popular methods to extract useful informations from an image sequence is
the template matching approach. In this well known method the tracking of a certain feature …

Visual tracking of objects under varying lighting conditions and changes of the object
appearance, such as articulation and change of aspect, is a challenging problem. Due to its …

Recent advances in visual tracking are based on siamese feature extractors and template
matching. For this category of trackers, latest research focuses on better feature embeddings …