Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
}
TY - GEN
T1 - Particle Filtering with Multiple Cues for Object Tracking in Video Sequences
AU - Brasnett, P.
AU - Mihaylova, L.
AU - Canagarajah, N.
AU - Bull, D.
N1 - Publisher: SPIE
PY - 2005/1/16
Y1 - 2005/1/16
N2 - In this paper we investigate object tracking in video sequences by using the potential of particle filtering to process features from video frames. A particle filter (PF) and a Gaussian sum particle filter (GSPF) are developed based upon multiple information cues, namely colour and texture, which are described with highly nonlinear models. The algorithms rely on likelihood factorisation as a product of the likelihoods of the cues. We demonstrate the advantages of tracking with multiple independent complementary cues compared to tracking with individual cues. The advantages are increased robustness and improved accuracy. The performance of the two filters is investigated and validated over both synthetic and natural video sequences.
AB - In this paper we investigate object tracking in video sequences by using the potential of particle filtering to process features from video frames. A particle filter (PF) and a Gaussian sum particle filter (GSPF) are developed based upon multiple information cues, namely colour and texture, which are described with highly nonlinear models. The algorithms rely on likelihood factorisation as a product of the likelihoods of the cues. We demonstrate the advantages of tracking with multiple independent complementary cues compared to tracking with individual cues. The advantages are increased robustness and improved accuracy. The performance of the two filters is investigated and validated over both synthetic and natural video sequences.
KW - particle filtering
KW - Bayesian methods
KW - tracking in video sequences
KW - colour
KW - texture
KW - Gaussian sum particle filtering
KW - DCS-publications-id
KW - inproc-429
KW - DCS-publications-credits
KW - dsp
KW - DCS-publications-personnel-id
KW - 121
U2 - 10.1117/12.585882
DO - 10.1117/12.585882
M3 - Conference contribution/Paper
VL - 5685
SP - 430
EP - 441
BT - SPIE Proceedings
PB - SPIE
T2 - IS &T/SPIE's 17th Annual Symposium on Electronic Imaging, Science and Technology
Y2 - 16 January 2005 through 20 January 2005
ER -