Result Details
Object Tracking in Monochromatic Video Sequences Using Particle Filter
Orság Filip, Ing., Ph.D., DIFS (FIT), DITS (FIT)
Drahanský Martin, prof. Ing., Ph.D., DIFS (FIT), DITS (FIT)
In recent years, a significant amount of attention has been given to the development of efficient and robust visual tracking algorithms. In order to deal with this problematic issue, color based particle filters are often used because of their simplicity, flexibility, and ability to deal with non-linearity and non-Gaussianity of such systems. However, the conventional particle filter methods may perform poorly when the color information is not available. In this paper, the proposed combination of a background model, motion model, and object model aims to tackle the problem of tracking objects in monochromatic video sequences. Several experiments have been conducted to verify the presented approach.
visual object tracking, particle filter, monochromatic video sequences
@inproceedings{BUT96943,
author="David {Herman} and Filip {Orság} and Martin {Drahanský}",
title="Object Tracking in Monochromatic Video Sequences Using Particle Filter",
booktitle="7th Scientific International Conference - Enviromental Protection of Population",
year="2012",
pages="120--128",
publisher="Karel Englis College Inc.",
address="Brno",
isbn="978-80-86710-57-0"
}
Centrum excelence IT4Innovations, MŠMT, Operační program Výzkum a vývoj pro inovace, ED1.1.00/02.0070, start: 2011-01-01, end: 2015-12-31, completed
Research and development of technologies for intelligent optical tracking systems, MPO, TIP, FR-TI1/195, start: 2009-03-01, end: 2012-12-31, completed
Security-Oriented Research in Information Technology, MŠMT, Institucionální prostředky SR ČR (např. VZ, VC), MSM0021630528, start: 2007-01-01, end: 2013-12-31, running
Tools and Methods for Video and Image Processing for the Fight against Terrorism, MV, Program bezpečnostního výzkumu České republiky 2010 - 2015, VG20102015006, start: 2010-10-01, end: 2015-09-30, completed