A Comprehensive Motion Estimation Technique for the Improvement of EIS Methods Based on the SURF Algorithm and Kalman Filter

A Comprehensive Motion Estimation Technique for the Improvement of EIS Methods Based on the SURF Algorithm and Kalman Filter

Video stabilization is an important technology for removing undesired motion in videos. This paper presents a comprehensive motion estimation method for electronic image stabilization techniques, integrating the speeded up robust features (SURF) algorithm, modified random sample consensus (RANSAC),...

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Bibliographic Details
Main Authors: Xuemin Cheng, Qun Hao, Mengdi Xie
Format: Article
Language:English
Published: MDPI AG 2016-04-01
Series:Sensors
Subjects:
vehicle platform
digital stabilization
SURF
RANSAC
cascade parameters
Kalman filter
Online Access:http://www.mdpi.com/1424-8220/16/4/486

Internet

http://www.mdpi.com/1424-8220/16/4/486

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