loading
Papers

Research.Publish.Connect.

Paper

Author: Nathanael L. Baisa

Affiliation: University of Lincoln, United Kingdom

ISBN: 978-989-758-290-5

Keyword(s): Visual Tracking, Multiple Target Filtering, MHT, PHD Filter, HISP Filter, MOT Challenge.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation ; Video Surveillance and Event Detection

Abstract: We propose a new multi-target visual tracker based on the recently developed Hypothesized and Independent Stochastic Population (HISP) filter. The HISP filter combines advantages of traditional tracking approaches like multiple hypothesis tracking (MHT) and point-process-based approaches like probability hypothesis density (PHD) filter, and has a linear complexity while maintaining track identities. We apply this filter for tracking multiple targets in video sequences acquired under varying environmental conditions and targets density using a tracking-by-detection approach. In addition, we alleviate the problem of two or more targets having identical label taking into account the weight propagated with each confirmed hypothesis. Finally, we carry out extensive experiments on Multiple Object Tracking 2016 (MOT16) benchmark dataset and find out that our tracker significantly outperforms several state-of-the-art trackers in terms of tracking accuracy.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

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 34.238.192.150

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:
Baisa, N. (2018). Online Multi-target Visual Tracking using a HISP Filter.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5 VISAPP: VISAPP, ISBN 978-989-758-290-5, pages 429-438. DOI: 10.5220/0006564504290438

@conference{visapp18,
author={Nathanael L. Baisa.},
title={Online Multi-target Visual Tracking using a HISP Filter},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5 VISAPP: VISAPP,},
year={2018},
pages={429-438},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006564504290438},
isbn={978-989-758-290-5},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5 VISAPP: VISAPP,
TI - Online Multi-target Visual Tracking using a HISP Filter
SN - 978-989-758-290-5
AU - Baisa, N.
PY - 2018
SP - 429
EP - 438
DO - 10.5220/0006564504290438

Login or register to post comments.

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