Abstract Multi-camera multi-target tracking aims at following and assigning a consistent label for the moving targets. Tracking has relevance for practical applications; which ranges from medical to security surveillance. ...

In this thesis we tried to exploit Dominant set frame work to track multiple people in videos. Since it's unsupervised, given unlabeled patches of the people to follow, we then propose a formulation of the multi-target ...

Cluster Analysis (Clustering) is the process of finding group of objects where, objects in the same group will be similar (related) to one another and dissimilar from objects in other groups. A fundamental and the major ...

One of the most challenging problem in computer vision community is semantic image labeling, which requires assigning a semantic class to each pixel in an image. In the literature, this problem has been effectively addressed ...

While originally introduced as a tool in proving a long-standing conjecture on arithmetic progressions, Szemeredi's regularity lemma has emerged over time as a fundamental tool in different branches of discrete mathematics ...

To be defined

This thesis is about a study of the behaviour of the dominant-set clustering (DS) using a measure of similarity that derives from the Euler kernel (Euler-Gauss DS), a kernel which relies on a nonlinear and robust cosine ...

In this work, we address the jigsaw puzzle solving task, proposing an automated pipeline to assess the adjacency relationship among tiles and order them. In particular, we compare two approaches Relaxation Labeling (ReLab) ...