Selective parts-based tracking through occlusions

Maria Cornacchia, Senem Velipasalar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Visual tracking is a difficult task due to numerous scale, occlusion, motion blur, and other deformation changes through-out a video sequence. While correlation filter trackers have recently shown promise, it still remains a challenge to account for the numerous different changes of an object during tracking. In this paper, we propose a selective parts-based approach, using correlation filters, that makes choices based on a consensus of the parts and global tracking to track through occlusions. In contrast to existing part-based methods, the proposed method does not dilute accurate tracking by averaging results over multiple parts at every frame. Instead, we only make location corrections when a part diverges and rely on these corrections to maintain an accurate appearance model. The proposed approach was evaluated for scenarios obtained from two different challenging benchmark datasets. Our approach has resulted in better overall precision and success rates compared to recent parts-based approaches, and has performed better especially in occlusion scenarios.

Original languageEnglish (US)
Title of host publication2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages171-175
Number of pages5
Volume2018-January
ISBN (Electronic)9781509059904
DOIs
StatePublished - Mar 7 2018
Event5th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Montreal, Canada
Duration: Nov 14 2017Nov 16 2017

Other

Other5th IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017
CountryCanada
CityMontreal
Period11/14/1711/16/17

Keywords

  • Correlation Filters
  • Parts-Tracking

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

Cite this

Cornacchia, M., & Velipasalar, S. (2018). Selective parts-based tracking through occlusions. In 2017 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2017 - Proceedings (Vol. 2018-January, pp. 171-175). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2017.8308626