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.

Preview	Text Lebeda-2012-FLOtrack-ACCV_DTCEpp.pdf Available under License : See the attached licence file. Download (1MB) | Preview
Preview	Text (licence) SRI_deposit_agreement.pdf Available under License : See the attached licence file. Download (33kB) | Preview

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
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 :	31 Oct 2017 17:46
URI:	http://epubs.surrey.ac.uk/id/eprint/808969

Actions (login required)

View Item

Downloads