INFORMATION CHANGE THE WORLD

International Journal of Information Technology and Computer Science(IJITCS)

ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)

Published By: MECS Press

IJITCS Vol.6, No.1, Dec. 2013

Method for Object Motion Characteristic Estimation Based on Wavelet Multi-Resolution Analysis: MRA

Full Text (PDF, 538KB), PP.41-49


Views:63   Downloads:0

Author(s)

Kohei Arai

Index Terms

Object Motion Characteristic, MRA, Wavelet

Abstract

Method for object motion characteristic estimation based on wavelet Multi-Resolution Analysis: MRA is proposed. With moving pictures, the motion characteristics, direction of translation, roll/pitch/yaw rotations can be estimated by MRA with an appropriate support length of the base function of wavelet. Through simulation study, method for determination of the appropriate support length of Daubechies base function is clarified. Also it is found that the proposed method for object motion characteristics estimation is validated.

Cite This Paper

Kohei Arai,"Method for Object Motion Characteristic Estimation Based on Wavelet Multi-Resolution Analysis: MRA", International Journal of Information Technology and Computer Science(IJITCS), vol.6, no.1, pp.41-49, 2014. DOI: 10.5815/ijitcs.2014.01.05

Reference

[1]K. Arai K. et al., Takagi and Shimoda edt., Image Analysis Handbook, Tokyo Daigaku Shuppan-kai publishing (1991).

[2]K. Arai K., Fundamental theory for image processing, Gakujutsu-Tosho Shuppan Publishing Co., Ltd (1996).

[3]K. Arai K., Methods for Image Processing and Analysis of Earth Observation Satellite Imagery Data, Morikita Shuppan Publishing Co., Ltd (1998).

[4]K. Arai and L. Jameson, Earth observation satellite data analysis based on wavelet analysis, Morikita-Shuppan Publishing Co., Ltd (2001).

[5]K. Arai K., Java based Earth observation satellite imagery data processing and analysis, Morikita-Shuppan Publishing Co., Ltd (2002).

[6]K. Arai, K.Seto, Dynamic characteristic idetification of moving objects based on wavelet analysis, Journal of Visualization Society of Japan, 24, Suppl.1, 227-230 (2004) 

[7]K.Arai, K.Seto, T. Nishikawa, Methid for dyanamic characteristic identification of rotated accelerated object based on wavelet analysis, Journal of Visualization Society of Japan, 26, Suppl.1, 145-148, 2006 

[8]K.Arai, T. Nishikawa, Dangerous car identification based on wavelet analysis, Journal of Visualization Society of Japan, 27、Suppl.1、217ー220、2007 

[9]K.Arai, T.Nishikawa, Identification method for moving object in remote sensing satellite images based on wavelet analysis, Journal of Visualization Society of Japan, 29, Suppl.1, 163-166, 2009. 

[10]K.Arai, T.Nishikawa, Method for optimum support length determinations of Daubechies base function of wavelet in moving object detection of remote sensing satellite images, Journal of Visualization Society of Japan, Journal of Japan Society of Photogrammetry and Remote Sensing, 48、3、171-179、2009.

[11]K.Arai, Yuji Yamada, Method for determination of optimum supoort length of base function of wavelet for change detection, Journal of Visualization Society of Japan, 29、Suppl.2,83-86, 2009

[12]K.Arai, Yuji Yamada, Analysis method for 3D object moements based on wavelet analysis. Journal of Visualization Society of Japan, 30,Suppl.2,287-288,2010.