OCULUS surveillance system: Fuzzy on-line speed analysis from 2D images

Author:

Albusac J.,Vallejo D.,Castro-Schez J.J.,Jimenez-Linares L.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference28 articles.

1. A supervised learning approach to automate the acquisition of knowledge in surveillance systems;Albusac;Journal of Signal Processing,2009

2. Intelligent surveillance based on normality analysis to detect abnormal behaviors;Albusac;International Journal of Pattern Recognition and Artificial Intelligence,2009

3. Beymer, D., McLauchlan, P., Coifman, B., & Malik, J. (1997). A real-time computer vision system for measuring traffic parameters. In IEEE computer society conference on computer vision and pattern recognition (pp. 495–501).

4. Blauensteiner, P., & Kampel, M. (2004). Visual surveillance of an airports apron-an overview of the AVITRACK project. In Digital imaging in media and education, annual workshop of AAPR.

5. Bloisi, D., Iocchi, L., Remagnino, P., & Monekosso, N. (in press). ARGOS – A video surveillance system for boat traffic monitoring in Venice. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI).

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