Feature-based video stabilization for vehicular applications

Author

Huang, Keng-Yen ; Tsai, Yi-Min ; Tsai, Chih-Chung ; Chen, Liang-Gee

Author_Institution

DSP/IC Design Lab., Nat. Taiwan Univ., Taipei, Taiwan

fYear

2010

fDate

7-10 June 2010

Firstpage

1

Lastpage

2

Abstract

This paper describes a method to stabilize video for vehicular applications based on Harris features and adaptive resolution. Lucas-Kanade method is applied to match feature points of consecutive frames and construct the feature motion flow. A damping filer is utilized to model the unwanted motion and global motion is separated by extracting oscillation. 92% correct rate with 0.54 second per frame is achieved. The provided benchmark shows outperformance of the proposed method.

Keywords

feature extraction; image motion analysis; image resolution; video signal processing; Harris features; Lucas-Kanade method; adaptive resolution; damping filer; extracting oscillation; feature motion flow; feature-based video stabilization; match feature points; unwanted motion separation; vehicular applications; Application specific integrated circuits; Consumer electronics; Damping; Design engineering; Digital signal processing; Eigenvalues and eigenfunctions; Feature extraction; Frequency; Motion estimation; Vehicle safety;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (ISCE), 2010 IEEE 14th International Symposium on

Conference_Location

Braunschweig

Print_ISBN

978-1-4244-6671-9

Type

conf

DOI

10.1109/ISCE.2010.5522727

Filename

5522727