An object tracking algorithmbased on occlusion mesh model

Jian Wei Zhao; Peng Wang; Chong Qing Liu

An object tracking algorithmbased on occlusion mesh model

Jian Wei Zhao, Peng Wang, Chong Qing Liu

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

9 Scopus citations

Abstract

The concept of occlusion mesh model is introduced. A novel object tracking algorithm based on occlusion mesh model is proposed. A modified occlusion detection method is considered to improve the detection accuracy. Mesh nodes motion estimation method based on feature window matching is presented to achieve sub-pixel resolution and overcome block artifacts produced by block matching. Experiment results indicate that the proposed algorithm is practical and feasible, it can be used to object tracking effectively. Also it solves 2D motion estimation problem existed in occlusion regions and shows better visual performance.

Original language	English
Title of host publication	Proceedings of 2002 International Conference on Machine Learning and Cybernetics
Pages	288-292
Number of pages	5
State	Published - 2002
Externally published	Yes
Event	Proceedings of 2002 International Conference on Machine Learning and Cybernetics - Beijing, China Duration: 4 Nov 2002 → 5 Nov 2002

Publication series

Name	Proceedings of 2002 International Conference on Machine Learning and Cybernetics
Volume	1

Conference

Conference	Proceedings of 2002 International Conference on Machine Learning and Cybernetics
Country/Territory	China
City	Beijing
Period	4/11/02 → 5/11/02

Keywords

Mesh model
Motion estimation
Object tracking
Occlusion detection

Cite this

@inproceedings{b36c09bbe2d44afb9614c8440b9d68d8,

title = "An object tracking algorithmbased on occlusion mesh model",

abstract = "The concept of occlusion mesh model is introduced. A novel object tracking algorithm based on occlusion mesh model is proposed. A modified occlusion detection method is considered to improve the detection accuracy. Mesh nodes motion estimation method based on feature window matching is presented to achieve sub-pixel resolution and overcome block artifacts produced by block matching. Experiment results indicate that the proposed algorithm is practical and feasible, it can be used to object tracking effectively. Also it solves 2D motion estimation problem existed in occlusion regions and shows better visual performance.",

keywords = "Mesh model, Motion estimation, Object tracking, Occlusion detection",

author = "Zhao, {Jian Wei} and Peng Wang and Liu, {Chong Qing}",

year = "2002",

language = "English",

isbn = "0780375084",

series = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics",

pages = "288--292",

booktitle = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics",

note = "Proceedings of 2002 International Conference on Machine Learning and Cybernetics ; Conference date: 04-11-2002 Through 05-11-2002",

}

Zhao, JW, Wang, P & Liu, CQ 2002, An object tracking algorithmbased on occlusion mesh model. in Proceedings of 2002 International Conference on Machine Learning and Cybernetics. Proceedings of 2002 International Conference on Machine Learning and Cybernetics, vol. 1, pp. 288-292, Proceedings of 2002 International Conference on Machine Learning and Cybernetics, Beijing, China, 4/11/02.

An object tracking algorithmbased on occlusion mesh model. / Zhao, Jian Wei; Wang, Peng; Liu, Chong Qing.
Proceedings of 2002 International Conference on Machine Learning and Cybernetics. 2002. p. 288-292 (Proceedings of 2002 International Conference on Machine Learning and Cybernetics; Vol. 1).

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

TY - GEN

T1 - An object tracking algorithmbased on occlusion mesh model

AU - Zhao, Jian Wei

AU - Wang, Peng

AU - Liu, Chong Qing

PY - 2002

Y1 - 2002

N2 - The concept of occlusion mesh model is introduced. A novel object tracking algorithm based on occlusion mesh model is proposed. A modified occlusion detection method is considered to improve the detection accuracy. Mesh nodes motion estimation method based on feature window matching is presented to achieve sub-pixel resolution and overcome block artifacts produced by block matching. Experiment results indicate that the proposed algorithm is practical and feasible, it can be used to object tracking effectively. Also it solves 2D motion estimation problem existed in occlusion regions and shows better visual performance.

AB - The concept of occlusion mesh model is introduced. A novel object tracking algorithm based on occlusion mesh model is proposed. A modified occlusion detection method is considered to improve the detection accuracy. Mesh nodes motion estimation method based on feature window matching is presented to achieve sub-pixel resolution and overcome block artifacts produced by block matching. Experiment results indicate that the proposed algorithm is practical and feasible, it can be used to object tracking effectively. Also it solves 2D motion estimation problem existed in occlusion regions and shows better visual performance.

KW - Mesh model

KW - Motion estimation

KW - Object tracking

KW - Occlusion detection

UR - http://www.scopus.com/inward/record.url?scp=0036930937&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0036930937

SN - 0780375084

T3 - Proceedings of 2002 International Conference on Machine Learning and Cybernetics

SP - 288

EP - 292

BT - Proceedings of 2002 International Conference on Machine Learning and Cybernetics

T2 - Proceedings of 2002 International Conference on Machine Learning and Cybernetics

Y2 - 4 November 2002 through 5 November 2002

ER -

An object tracking algorithmbased on occlusion mesh model

Abstract

Publication series

Conference

Keywords

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Cite this