Tracking the untrackable: How to track when your object is featureless
Lebeda, K, Matas, J and Bowden, R (2013) Tracking the untrackable: How to track when your object is featureless Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7729 L (PART 2). pp. 347-359.
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Abstract
We propose a novel approach to tracking objects by low-level line correspondences. In our implementation we show that this approach is usable even when tracking objects with lack of texture, exploiting situations, when feature-based trackers fails due to the aperture problem. Furthermore, we suggest an approach to failure detection and recovery to maintain long-term stability. This is achieved by remembering configurations which lead to good pose estimations and using them later for tracking corrections. We carried out experiments on several sequences of different types. The proposed tracker proves itself as competitive or superior to state-of-the-art trackers in both standard and low-textured scenes. © 2013 Springer-Verlag.
Item Type: | Article |
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Divisions : | Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing |
Authors : | Lebeda, K, Matas, J and Bowden, R |
Date : | 15 April 2013 |
DOI : | 10.1007/978-3-642-37484-5_29 |
Additional Information : | The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-37484-5_29 |
Depositing User : | Symplectic Elements |
Date Deposited : | 17 Nov 2015 17:14 |
Last Modified : | 06 Jul 2019 05:15 |
URI: | http://epubs.surrey.ac.uk/id/eprint/808969 |
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