loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: David Hurych ; Karel Zimmermann and Tomáš Svoboda

Affiliation: Czech Technical University in Prague, Czech Republic

ISBN: 978-989-8425-47-8

Keyword(s): Detection, Tracking, Incremental, Learning, Predictors, Fern, Omnidirectional, High-resolution.

Related Ontology Subjects/Areas/Topics: Active and Robot Vision ; Computer Vision, Visualization and Computer Graphics ; Model-Based Object Tracking in Image Sequences ; Motion, Tracking and Stereo Vision ; Real-Time Vision

Abstract: This paper addresses object detection and tracking in high-resolution omnidirectional images. The foreseen application is a visual subsystem of a rescue robot equipped with an omnidirectional camera, which demands real time efficiency and robustness against changing viewpoint. Object detectors typically do not guarantee specific frame rate. The detection time may vastly depend on a scene complexity and image resolution. The adapted tracker can often help to overcome the situation, where the appearance of the object is far from the training set. On the other hand, once a tracker is lost, it almost never finds the object again. We propose a combined solution where a very efficient tracker (based on sequential linear predictors) incrementally accommodates varying appearance and speeds up the whole process. We experimentally show that the performance of the combined algorithm, measured by a ratio between false positives and false negatives, outperforms both individual algorithms. The trac ker allows to run the expensive detector only sparsely enabling the combined solution to run in real-time on 12 MPx images from a high resolution omnidirectional camera (Ladybug3). (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.196.42.8

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Hurych D., Zimmermann K. and Svoboda T. (2011). FAST LEARNABLE OBJECT TRACKING AND DETECTION IN HIGH-RESOLUTION OMNIDIRECTIONAL IMAGES.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 521-530. DOI: 10.5220/0003369705210530

@conference{visapp11,
author={David Hurych and Karel Zimmermann and Tomáš Svoboda},
title={FAST LEARNABLE OBJECT TRACKING AND DETECTION IN HIGH-RESOLUTION OMNIDIRECTIONAL IMAGES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={521-530},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003369705210530},
isbn={978-989-8425-47-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - FAST LEARNABLE OBJECT TRACKING AND DETECTION IN HIGH-RESOLUTION OMNIDIRECTIONAL IMAGES
SN - 978-989-8425-47-8
AU - Hurych D.
AU - Zimmermann K.
AU - Svoboda T.
PY - 2011
SP - 521
EP - 530
DO - 10.5220/0003369705210530

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.