Name
Abstract | ||
|---|---|---|
Existing multi-kernel tracking methods are based on a forwards additive motion model formulation. However this approach suffers from the need to estimate an update matrix for each iteration. This paper presents a general framework that extends the existing approach and that allows to introduce a new inverse compositional formulation which shifts the computation of the update matrix to a one time initialisation step. The proposed approach thus reduces the computational complexity of each iteration, compared to the existing forwards approach. The approaches are compared both in terms of algorithmic complexity and quality of the estimation. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11949619_43 | ICVGIP |
Keywords | Field | DocType |
existing approach,general framework,time initialisation step,new inverse compositional formulation,multi-kernel tracking method,algorithmic complexity,additive motion model formulation,computational complexity,update matrix | Inverse,Matrix calculus,Computer science,Matrix (mathematics),Image processing,Algorithm,Multi kernel,Kernel method,Computation,Computational complexity theory | Conference |
Volume | ISSN | ISBN |
4338 | 0302-9743 | 3-540-68301-1 |
Citations | PageRank | References |
3 | 0.43 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rémi Megret | 1 | 16 | 1.74 |
| Mounia Mikram | 2 | 11 | 4.00 |
| Y. Berthoumieu | 3 | 389 | 51.66 |