Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
}
TY - CHAP
T1 - Object Tracking by Particle Filtering Techniques in Video Sequences
AU - Mihaylova, L
AU - Brasnett, P
AU - Canagarajah, N
AU - Bull, D
PY - 2007
Y1 - 2007
N2 - Object tracking in video sequences is a challenging task and has various applications. We review particle filtering techniques for tracking single and multiple moving objects in video sequences, by using different features such as colour, shape, motion, edge and sound. Pros and cons of these algorithms are discussed along with difficulties that have to be overcome. Results of a particular particle filter with colour and texture cues are reported. Conclusions and open research issues are formulated.
AB - Object tracking in video sequences is a challenging task and has various applications. We review particle filtering techniques for tracking single and multiple moving objects in video sequences, by using different features such as colour, shape, motion, edge and sound. Pros and cons of these algorithms are discussed along with difficulties that have to be overcome. Results of a particular particle filter with colour and texture cues are reported. Conclusions and open research issues are formulated.
KW - particle filtering
KW - sensor data fusion
KW - tracking in video sequences
KW - DCS-publications-id
KW - incoll-67
KW - DCS-publications-credits
KW - dsp-fa
KW - DCS-publications-personnel-id
KW - 121
M3 - Chapter
SN - 978-1-58603-727-7
VL - 8
T3 - NATO Security Through Science Series
SP - 260
EP - 268
BT - Advances and Challenges in Multisensor Data and Information
A2 - Lefebvre, E.
PB - IOS Press
CY - Netherlands
ER -