An autonomus monitoring system based on object shape detection
PBN-AR
Instytucja
Wydział Elektrotechniki, Automatyki i Informatyki (Politechnika Świętokrzyska)
Informacje podstawowe
Główny język publikacji
en
Czasopismo
Measurement Automation Monitoring
ISSN
0032-4140
EISSN
Wydawca
DOI
URL
Rok publikacji
2015
Numer zeszytu
7
Strony od-do
349-351
Numer tomu
61
Identyfikator DOI
Liczba arkuszy
Słowa kluczowe
en
Monitoring system
Object identification
Image retrieval
Machine vision
Streszczenia
Język
en
Treść
In traditional monitoring systems video feeds from stationary cameras are supervised only by a human operator, who may easily miss some events recorded by a camera. Because it is imperative for surveillance system to be reliable, its autonomy can be extended by applying computer vision algorithms to a video signal and also by the use of mobile robots capable of monitoring tight and occluded areas. In this paper we present an overview of concept of the autonomous monitoring system based on object shape detection. Our goal is to develop the real-time system which robustly and efficiently identifies objects on the basis of their approximate shape. For monitoring the environment we use active and smart cameras capable of remote position control, as well as mobots equipped with video sensors. After performing object extraction from individual video frames, each new detected object is decomposed into simple graphical primitives like lines, circles, rectangles etc. and then identified in a database using the Query by Shape (QS) method.
Cechy publikacji
peer-reviewed
original-article
Inne
System-identifier
39210