Title :
Commentary Paper 2 on "Multi-view Access Monitoring and Singularization in Interlocks"
Author_Institution :
Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ
Abstract :
This is a commentary paper on ldquoMulti-view access monitoring and singularization in interlocksrdquo. Stefano et al. (2008) presents a multi-view approach to access monitoring and classification of single or multiple occupants (singularization detection) in access restricted areas (interlocks). Two main contributions are made by Stefano et al. (2008). One is a robust background subtraction algorithm using multiple background models in various illuminations. This algorithm is used for floor area and floor border segmentation. The second contribution is to extract features from multiple views (two views in the experiments) for singularization detection.
Keywords :
feature extraction; image classification; object detection; background subtraction algorithm; feature extraction; multiple background models; multiview access monitoring; singularization detection; Art; Bibliographies; Feature extraction; Foot; Lighting; Monitoring; Robustness; Shape; Surveillance; Videoconference;
Conference_Titel :
Advanced Video and Signal Based Surveillance, 2008. AVSS '08. IEEE Fifth International Conference on
Conference_Location :
Santa Fe, NM
Print_ISBN :
978-0-7695-3341-4
Electronic_ISBN :
978-0-7695-3422-0
DOI :
10.1109/AVSS.2008.41