Vision-based human action and activity recognition has an increasing importance among
the computer vision community with applications to visual surveillance, video retrieval and …

Today's video surveillance systems are increasingly equipped with video content analysis
for a great variety of applications. However, reliability and robustness of video content …

This paper presents a set of metrics and algorithms for performance evaluation of object
tracking systems. Our emphasis is on wide-ranging, robust metrics which can be used for …

Surveillance systems employ object tracking methods, a class of automatic data analysis
algorithms, to accurately locate the target or its trajectory under a wide range of constraints …

When evaluating the performance of a computer-based visual tracking system one often
wishes to compare results with a standard human observer. It is a natural assumption that …

Digital video content analysis is an important item for multimedia content-based indexing
(MCBI), content-based video retrieval (CBVR) and visual surveillance systems. There are …

With the advent of the ubiquitous era, many studies have been devoted to various situation-
aware services in the semantic web environment. One of the most challenging studies …

Conducting research on a computer science topic and writing a thesis in a collaborative
research project where the thesis results are at the same time the basis for scientific …

Surveillance for security requires communication between systems and humans, involves
behavioural and multimedia research, and demands an objective benchmarking for the …

A key issue in video object tracking is the representation of the objects and how effectively it
discriminates between different objects. Several techniques have been proposed, but …