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Tracking the Untrackable: How to Track When Your Object Is Featureless

Lebeda, Karel, Matas, Jiri and Bowden, Richard (2013) Tracking the Untrackable: How to Track When Your Object Is Featureless In: ACCV workshop on Detection and Tracking in Challenging Environments, 5-9 November 2012, Daejeon, South Korea.

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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.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Lebeda, Karelk.lebeda@surrey.ac.ukUNSPECIFIED
Matas, Jirimatas@cmp.felk.cvut.czUNSPECIFIED
Bowden, Richardr.bowden@surrey.ac.ukUNSPECIFIED
Date : 2013
Identification Number : 10.1007/978-3-642-37484-5_29
Projects : SGS11/125/OHK3/2T/13, GACR P103/12/2310, EPSRC EP/I011811/1
Uncontrolled Keywords : computer vision, tracking, featureless object, low texture, edge, line correspondences
Additional Information : The original publication is available at http://www.springerlink.com
Depositing User : Karel Lebeda
Date Deposited : 11 Feb 2015 14:07
Last Modified : 11 Feb 2015 14:07
URI: http://epubs.surrey.ac.uk/id/eprint/804940

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