A real time adaptive visual surveillance system for tracking low-resolution colour targets in dynamically changing scenes

KaewTrakulPong, P and Bowden, R (2003) A real time adaptive visual surveillance system for tracking low-resolution colour targets in dynamically changing scenes In: Symposium on Probabilistic Models in Computer Vision, 2001-05 - ?, ENGLAND.

Full text not available from this repository.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Divisions :	Surrey research (other units)
Authors :	Name Email ORCID KaewTrakulPong, P Bowden, R r.bowden@surrey.ac.uk
Date :	20 September 2003
DOI :	10.1016/S0262-8856(03)00076-3
Contributors :	Contribution Name Email ORCID publisher ELSEVIER SCIENCE BV,
Uncontrolled Keywords :	Science & Technology, Technology, Physical Sciences, Computer Science, Artificial Intelligence, Computer Science, Software Engineering, Computer Science, Theory & Methods, Engineering, Electrical & Electronic, Optics, Computer Science, Engineering, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE, COMPUTER SCIENCE, SOFTWARE ENGINEERING, COMPUTER SCIENCE, THEORY & METHODS, ENGINEERING, ELECTRICAL & ELECTRONIC, OPTICS, visual surveillance, multiple target tracking, tracking through occlusion, low resolution target, Stochastic search, perceptualised colour, particle filter, PEOPLE
Related URLs :	Author
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 12:55
Last Modified :	23 Jan 2020 18:12
URI:	http://epubs.surrey.ac.uk/id/eprint/837254

Actions (login required)

View Item

Downloads