Wyniki wyszukiwania - BazTech

1

Intelligent video surveillance systems for public spaces – a survey

Zabłocki M., Gościewska K., Frejlichowski D., Hofman R.

Journal of Theoretical and Applied Computer Science

|

2014

|

Vol. 8, nr 4

13--27

EN

In recent years, a large number of cameras have been installed in public spaces as a part of intelligent video surveillance systems. Such systems are being continuously developed due to the advancements in the Video Content Analysis algorithms. In this paper, some of the latest state-of-the-art intelligent video surveillance systems will be presented in the context of their most desirable characteristics and features. Due to the variety of the solutions the following categories have been taken into consideration: systems based on object detection, tracking and movement analysis, systems able to warn against, detect and identify abnormal and alarming situations, systems based on vehicle detection and traffic or parking lots analysis, object counting systems, systems based on multiple integrated camera views, privacy preserving systems and systems based on cloud environment. The paper describes several solutions for each category and underlines main functionalities of the current intelligent surveillance systems.

2

SmartMonitor: recent progress in the development of an innovative visual surveillance system

Frejlichowski D., Gościewska K., Forczmański P., Nowosielski A., Hofman R.

Journal of Theoretical and Applied Computer Science

|

2012

|

Vol. 6, nr 3

28-35

EN

This paper describes recent improvements in developing SmartMonitor — an innovative security system based on existing traditional surveillance systems and video content analysis algorithms. The system is being developed to ensure the safety of people and assets within small areas. It is intended to work without the need for user supervision and to be widely customizable to meet an individual’s requirements. In this paper, the fundamental characteristics of the system are presented including a simplified representation of its modules. Methods and algorithms that have been investigated so far alongside those that could be employed in the future are described. In order to show the effectiveness of the methods and algorithms described, some experimental results are provided together with a concise explanation.

3

Aktualne trendy w tworzeniu systemów inteligentnego monitoringu wizyjnego

Frejlichowski D., Forczmański P., Nowosielski A., Hofman R.

Metody Informatyki Stosowanej

|

2011

|

nr 4

19-39

EN

This article provides an overview and critical analysis of computer vision algorithms used in the construction of the modules responsible for recognition and identification of objects which are elements of an intelligent monitoring system. We investigate state-of-the-art methods with an enough high potential to be implemented in a practical realization of such a system. The article describes three main elements of modern surveillance system, namely an adaptive background model, object extraction and tracking. Finally, we describe several recent benchmark datasets that can be used to test real systems.

4

An experimental approach to software quality perception understanding

Hofman R.

Przegląd Elektrotechniczny

|

2010

|

R. 86, nr 9

193-197

EN

The majority of software quality models presented in the literature adopt a prescriptive approach. They describe ways in which software quality should be expressed and measured. Consequently, software developers focus on the technical characteristics of software products, neglecting the management of other aspects that may affect quality assessment results. This article presents an alternative (descriptive) approach to software quality assessment understanding and foreseeing on the basis of presented empirical evidence.

PL

Zdecydowana większość modeli jakości prezentowanych w literaturze ma charakter preskryptywny - opisuje sposób w jaki jakość oprogramowania powinna być wyrażana i mierzona. W efekcie zespoły rozwijające oprogramowanie skupiają się na technicznych charakterystykach produktu jednocześnie zaniedbując zarządzanie obszarami, które mogą wpływać na wynik oceny jakości oprogramowania. Niniejszy artykuł prezentuje alternatywne(deskryptywne) podejście do analizy i predykcji oceny jakości oprogramowania na podstawie danych empirycznych.