Abstract | ||
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We propose a novel space-time descriptor for region-based tracking which is very concise and efficient. The regions represented by covariance matrices within a temporal fragment, are used to estimate this space-time descriptor which we call the Eigenprofiles(EP). EP so obtained is used in estimating the Covariance Matrix of features over spatio-temporal fragments. The Second Order Statistics of spatio-temporal fragments form our target model which can be adapted for variations across the video. The model being concise also allows the use of multiple spatially overlapping fragments to represent the target. We demonstrate good tracking results on very challenging datasets, shot under insufficient illumination conditions. |
Year | DOI | Venue |
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2012 | 10.1109/ICASSP.2012.6288174 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
covariance matrices,eigenvalues and eigenfunctions,higher order statistics,object tracking,video signal processing,EP,adaptive region-based tracking,covariance matrices,eigen-profiles,insufficient illumination conditions,region-based tracking,second order statistics,spatio-temporal fragments,Covariance Matrix,Eigenvectors,Joint Diagonalization,Spatio-Temporal Fragment,Tracking | Mathematical optimization,Pattern recognition,Computer science,Matrix (mathematics),Higher-order statistics,Video tracking,Artificial intelligence,Covariance matrix,Eigenvalues and eigenvectors,Covariance | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4673-0044-5 | 978-1-4673-0044-5 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Adway Mitra | 1 | 13 | 3.08 |
Anoop Kolar Rajagopal | 2 | 30 | 3.06 |
Ujwal D. Bonde | 3 | 2 | 0.69 |
Chiranjib Bhattacharyya | 4 | 735 | 59.64 |
K. R. Ramakrishnan | 5 | 690 | 75.72 |