Extracting key postures using radon transform

Yan Chen; Qiang Wu; Xiangjian He; Chunhua Du; Jie Yang

doi:10.1109/IVCNZ.2008.4762106

Extracting key postures using radon transform

Yan Chen, Qiang Wu, Xiangjian He, Chunhua Du, Jie Yang

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

Abstract

Human key posture extraction will benefit for human action recognition, human action retrieval, human behaviour understanding and so on. This paper proposes an approach to select key postures from a human action video based on Radon transform. Cluster is used on the Radon transform to select the final key postures of human action video. The approach does not require motion extraction from the human action video. The experiments results show that the proposed approach is efficient.

Original language	English
Title of host publication	2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ
DOIs	https://doi.org/10.1109/IVCNZ.2008.4762106
Publication status	Published - 2008
Externally published	Yes
Event	2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ - Christchurch, New Zealand Duration: 26 Nov 2008 → 28 Nov 2008

Publication series

Name	2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ

Conference

Conference	2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ
Country/Territory	New Zealand
City	Christchurch
Period	26/11/08 → 28/11/08

Keywords

Cluster
Key postures extraction
Radon transform

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/IVCNZ.2008.4762106

Cite this

@inproceedings{ed468e8b58d24faab8edfbb49523687b,

title = "Extracting key postures using radon transform",

abstract = "Human key posture extraction will benefit for human action recognition, human action retrieval, human behaviour understanding and so on. This paper proposes an approach to select key postures from a human action video based on Radon transform. Cluster is used on the Radon transform to select the final key postures of human action video. The approach does not require motion extraction from the human action video. The experiments results show that the proposed approach is efficient.",

keywords = "Cluster, Key postures extraction, Radon transform",

author = "Yan Chen and Qiang Wu and Xiangjian He and Chunhua Du and Jie Yang",

year = "2008",

doi = "10.1109/IVCNZ.2008.4762106",

language = "English",

isbn = "9781424425822",

series = "2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ",

booktitle = "2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ",

note = "2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ ; Conference date: 26-11-2008 Through 28-11-2008",

}

Chen, Y, Wu, Q, He, X, Du, C & Yang, J 2008, Extracting key postures using radon transform. in 2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ., 4762106, 2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ, 2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ, Christchurch, New Zealand, 26/11/08. https://doi.org/10.1109/IVCNZ.2008.4762106

TY - GEN

T1 - Extracting key postures using radon transform

AU - Chen, Yan

AU - Wu, Qiang

AU - He, Xiangjian

AU - Du, Chunhua

AU - Yang, Jie

PY - 2008

Y1 - 2008

N2 - Human key posture extraction will benefit for human action recognition, human action retrieval, human behaviour understanding and so on. This paper proposes an approach to select key postures from a human action video based on Radon transform. Cluster is used on the Radon transform to select the final key postures of human action video. The approach does not require motion extraction from the human action video. The experiments results show that the proposed approach is efficient.

AB - Human key posture extraction will benefit for human action recognition, human action retrieval, human behaviour understanding and so on. This paper proposes an approach to select key postures from a human action video based on Radon transform. Cluster is used on the Radon transform to select the final key postures of human action video. The approach does not require motion extraction from the human action video. The experiments results show that the proposed approach is efficient.

KW - Cluster

KW - Key postures extraction

KW - Radon transform

UR - http://www.scopus.com/inward/record.url?scp=63049108982&partnerID=8YFLogxK

U2 - 10.1109/IVCNZ.2008.4762106

DO - 10.1109/IVCNZ.2008.4762106

M3 - Conference contribution

AN - SCOPUS:63049108982

SN - 9781424425822

T3 - 2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ

BT - 2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ

T2 - 2008 23rd International Conference Image and Vision Computing New Zealand, IVCNZ

Y2 - 26 November 2008 through 28 November 2008

ER -

Extracting key postures using radon transform

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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