Title :
Stationary target detection using the objectvideo surveillance system
Author :
Venetianer, P.L. ; Zhang, Z. ; Yin, W. ; Lipton, A.J.
Author_Institution :
ObjectVideo Inc., Reston
Abstract :
Detecting stationary objects, such as an abandoned baggage or a parked vehicle is crucial in a wide range of video surveillance and monitoring applications. ObjectVideo, the leader in intelligent video software has been deploying commercial products to address these problems for the last 5 years. The ObjectVideo VEW and OnBoard system addresses these problems using an array of algorithms optimized for various scenario types and can be selected dynamically. This paper describes the key challenges and algorithms, and presents results on the standard i-LIDS dataset.
Keywords :
object detection; video signal processing; video surveillance; ObjectVideo; intelligent video software; objectvideo surveillance system; onboard system; stationary target detection; Engines; Event detection; Intelligent vehicles; Layout; Monitoring; Object detection; Streaming media; Target tracking; Vehicle detection; Video surveillance;
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2007. AVSS 2007. IEEE Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-1696-7
Electronic_ISBN :
978-1-4244-1696-7
DOI :
10.1109/AVSS.2007.4425317