Abstract | ||
---|---|---|
Deformable part models exhibit excellent performance in tracking non-rigidly deforming targets, but are usually outperformed by holistic models when the target does not deform or in the presence of uncertain visual data. The reason is that part-based models require estimation of a larger number of parameters compared to holistic models and since the updating process is self-supervised, the errors in parameter estimation are amplified with time, leading to a faster accuracy reduction than in holistic models. On the other hand, the robustness of part-based trackers is generally greater than in holistic trackers. We address the problem of self-supervised estimation of a large number of parameters by introducing controlled graduation in estimation of the free parameters. We propose decomposing the visual model into several sub-models, each describing the target at a different level of detail. The sub-models interact during target localization and, depending on the visual uncertainty, serve for cross-sub-model supervised updating. A new tracker is proposed based on this model which exhibits the qualities of part-based as well as holistic models. The tracker is tested on the highly-challenging VOT2013 and VOT2014 benchmarks, outperforming the state-of-the-art. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/WACV.2016.7477570 | 2016 IEEE Winter Conference on Applications of Computer Vision (WACV) |
Keywords | Field | DocType |
robust visual tracking,template anchor,deformable part model,nonrigidly deforming target tracking,parameter estimation,part-based tracker,holistic tracker,self-supervised estimation,target localization,visual uncertainty,cross-submodel supervised updating | BitTorrent tracker,Data modeling,Computer vision,Pattern recognition,Visualization,Level of detail,Computer science,Robustness (computer science),Eye tracking,Artificial intelligence,Estimation theory,Free parameter | Conference |
ISSN | Citations | PageRank |
2472-6737 | 0 | 0.34 |
References | Authors | |
17 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Luka Čehovin | 1 | 560 | 18.04 |
Ales Leonardis | 2 | 1636 | 147.33 |
Matej Kristan | 3 | 960 | 47.02 |