DocumentCode
2595015
Title
Simultaneous detection and tracking of multiple objects in noisy and cluttered environment using maximum likelihood estimation framework
Author
Ilin, Roman ; Deming, Ross W.
Author_Institution
Sensors Directorate, Air Force Res. Lab., Hanscom AFB, MA, USA
fYear
2010
fDate
24-27 May 2010
Firstpage
1
Lastpage
7
Abstract
We discuss a versatile framework for multiple target detection and tracking based on maximum likelihood estimation with expectation maximization and a cognitive theory called dynamic logic. In this contribution extend the framework to detection of moving objects in video sequences. The paper presents the theory and an example of detection and tracking using a real world video sequence.
Keywords
clutter; expectation-maximisation algorithm; image motion analysis; image sequences; object detection; target tracking; video signal processing; cluttered environment; cognitive theory; dynamic logic; expectation maximization; maximum likelihood estimation framework; multiple object simultaneous detection; multiple object tracking; multiple target detection; target tracking; video sequences; Clutter; Computational modeling; Marine animals; Pixel; Radar tracking; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
OCEANS 2010 IEEE - Sydney
Conference_Location
Sydney, NSW
Print_ISBN
978-1-4244-5221-7
Electronic_ISBN
978-1-4244-5222-4
Type
conf
DOI
10.1109/OCEANSSYD.2010.5603524
Filename
5603524
Link To Document