loading...
An Architecture for Automated Scene Understanding
Palermo, Italy July 04-July 06
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CAMP.2005.11Seventh International Workshop on Com ...
 This Article 
 
PDF
HTML
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
This paper presents distributed, automated, scene surveillance architecture. Object detection and tracking is performed by a set of Region and Object Agent. The Area under surveillance is divided in several sub-areas. One camera is assigned to each sub-area. A Region Agent is responsible for monitoring a given sub-area. First a background subtraction is performed to the scene taken by the camera. Based on the foreground mask, Region Agent segments the incoming frame and creates Object Agents dedicated to tracking detected objects. Tracking information and segments are sent to a Scene Processing Unit that analyzed this information and determined if a threat pattern is present at the scene and performed appropriate action.
Index Terms:
cooperative agents, sensor network, image understanding
Citation:
Ruth Aguilar-Ponce, Ashok Kumar, J. Luis Tecpanecatl-Xihuitl, Magdy Bayoumi, "An Architecture for Automated Scene Understanding," camp, pp.19-24, Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05), 2005
Usage of this product signifies your acceptance of the Terms of Use.