Title :
Real-time tracking and identification on an intelligent IR-based surveillance system
Author :
Alonso-Bayal, J.C. ; Santiago-Mozos, R. ; Leiva-Murillo, J.M. ; Lázaro, M. ; Artés-Rodríguez, A.
Author_Institution :
Univ. Carlos III de Madrid, Leganes
Abstract :
We implement a fixed-point real-time identification system and provide tools for the optimal design of exponential lookup-tables. This intelligent surveillance system is based on infrared image processing, which allows to detect and track people and trigger different actions depending on the region of the monitored area in which they are. The system automatically segments the body to get the face and includes a face classifier based on the support vector machine.
Keywords :
face recognition; image classification; image segmentation; infrared imaging; object detection; optical tracking; security of data; support vector machines; surveillance; table lookup; exponential lookup-table; face classifier; fixed-point real-time identification system; image segmentation; infrared image processing; intelligent IR-based surveillance system; object detection; optical tracking; optimal design; support vector machine; Face detection; Image processing; Image segmentation; Infrared detectors; Infrared imaging; Infrared surveillance; Intelligent systems; Monitoring; Real time systems; Support vector machines;
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.2007.4425323
