Bags-of-visual-Words (BoW) and Spatio-Temporal Shapes (STS) are two very popular
approaches for action recognition from video. The former (BoW) is an un-structured global …

We address the problem of anomaly detection in machine perception. The concept of
domain anomaly is introduced as distinct from the conventional notion of anomaly used in …

Fully automatic annotation of tennis game using broadcast video is a task with a great
potential but with enormous challenges. In this paper we describe our approach to this task …

A key question in machine perception is how to adaptively build upon existing capabilities
so as to permit novel functionalities. Implicit in this are the notions of anomaly detection and …

Tennis game annotation using broadcast video is a task with a wide range of applications. In
particular, ball trajectories carry rich semantic information for the annotation. However …

The paper introduces complete description of the detection method that uses structural
invariant Matroid and its Bases (MB, M). There are recapitulated essential concepts from the …

With increasing computational power and decreasing size, computers nowadays are
already wearable and mobile. They become attendant of peoples' everyday life. Personal …

This thesis describes several algorithms for tracking tennis balls in broadcast tennis videos.
The algorithms are used to provide a ball tracking module for an automatic tennis video …

This thesis addresses the problem of creating computer vision systems that will facilitate
high-level, user-friendly interpretation of an observed scene, and which will be readily …

Anomaly detection has received much attention within the literature as a means of
determining, in an unsupervised manner, whether a learning domain has changed in a …