Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/17727
Title: DESEO: an active vision system for detection, tracking and recognition
Authors: Hernández Tejera, Francisco Mario 
Cabrera, J. 
CastrillÓN, M. 
Domínguez-Brito, Antonio C. 
Guerra Artal, Cayetano Nicolás 
Hernández Sosa, José Daniel 
Isern González, José 
UNESCO Clasification: 120304 Inteligencia artificial
Issue Date: 1999
Journal: Lecture Notes in Computer Science 
Conference: 1st International Conference on Computer Vision Systems, ICVS 1999 
Abstract: In this paper, a basic conceptual architecture aimed at the design of Computer Vision System is qualitatively described. The proposed architecture addresses the design of vision systems in a modular fashion using modules with three distinct units or components: a processing network or diagnostics unit, a control unit and a communications unit. The control of the system at the modules level is designed based on a Discrete Events Model. This basic methodology has been used to design a realtime active vision system for detection, tracking and recognition of people. It is made up of three functional modules aimed at the detection, tracking, recognition of moving individuals plus a supervision module.
URI: http://hdl.handle.net/10553/17727
ISBN: 3540654593
9783540654599
ISSN: 0302-9743
DOI: 10.1007/3-540-49256-9_23
Source: Computer Vision Systems. ICVS 1999. Lecture Notes in Computer Science, vol 1542. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
Thumbnail
Preprint
Adobe PDF (288,03 kB)
Show full item record

SCOPUSTM   
Citations

10
checked on Jul 12, 2020

Page view(s)

25
checked on Jul 11, 2020

Download(s)

34
checked on Jul 11, 2020

Google ScholarTM

Check

Altmetric


Share



Export metadata



This item is licensed under a Creative Commons License Creative Commons