Visual tracking with online discriminative learning

Se In Jang; Kwontaeg Choi; Youngsung Kim; Beom Seok Oh; Kar Ann Toh

doi:10.1109/ICICS.2011.6173536

Visual tracking with online discriminative learning

Se In Jang, Kwontaeg Choi, Youngsung Kim, Beom Seok Oh, Kar Ann Toh

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

We treat tracking as a binary classification task in order to distinguish between an object to be tracked and the background. We propose to integrate an online learning based total-error-rate minimization method (OTER) with an observation model of particle filter for visual tracking. The particle filter is modeled using an affine dynamic model and an observation model. The observation model is constructed using the OTER classifier for binary pattern classification. The proposed method is empirically evaluated both qualitatively and quantitatively using several publicly available video sequences.

Original language	English
Title of host publication	ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing
DOIs	https://doi.org/10.1109/ICICS.2011.6173536
Publication status	Published - 2011 Dec 1
Event	8th International Conference on Information, Communications and Signal Processing, ICICS 2011 - Singapore, Singapore Duration: 2011 Dec 13 → 2011 Dec 16

Publication series

Name	ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing

Other

Other	8th International Conference on Information, Communications and Signal Processing, ICICS 2011
Country	Singapore
City	Singapore
Period	11/12/13 → 11/12/16

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Information Systems
Signal Processing

Access to Document

10.1109/ICICS.2011.6173536

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Cite this

Jang, S. I., Choi, K., Kim, Y., Oh, B. S., & Toh, K. A. (2011). Visual tracking with online discriminative learning. In ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing [6173536] (ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing). https://doi.org/10.1109/ICICS.2011.6173536

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title = "Visual tracking with online discriminative learning",

abstract = "We treat tracking as a binary classification task in order to distinguish between an object to be tracked and the background. We propose to integrate an online learning based total-error-rate minimization method (OTER) with an observation model of particle filter for visual tracking. The particle filter is modeled using an affine dynamic model and an observation model. The observation model is constructed using the OTER classifier for binary pattern classification. The proposed method is empirically evaluated both qualitatively and quantitatively using several publicly available video sequences.",

author = "Jang, {Se In} and Kwontaeg Choi and Youngsung Kim and Oh, {Beom Seok} and Toh, {Kar Ann}",

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note = "8th International Conference on Information, Communications and Signal Processing, ICICS 2011 ; Conference date: 13-12-2011 Through 16-12-2011",

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Jang, SI, Choi, K, Kim, Y, Oh, BS & Toh, KA 2011, Visual tracking with online discriminative learning. in ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing., 6173536, ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing, 8th International Conference on Information, Communications and Signal Processing, ICICS 2011, Singapore, Singapore, 11/12/13. https://doi.org/10.1109/ICICS.2011.6173536

Visual tracking with online discriminative learning. / Jang, Se In; Choi, Kwontaeg; Kim, Youngsung; Oh, Beom Seok; Toh, Kar Ann.

ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing. 2011. 6173536 (ICICS 2011 - 8th International Conference on Information, Communications and Signal Processing).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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