Motion Intention Optimization for Multirotor Robust Video Stabilization

被引：0

作者：

Aguilar, Wilbert G. ^{[1
]}

Angulo, Cecilio ^{[2
]}

Pardo, Jorge A. ^{[3
]}

机构：

[1] Univ Fuerzas Armadas ESPE, CICTE Res Ctr, Sangolqui, Ecuador

[2] Univ Politecn Cataluna, GREC Res Grp, Barcelona, Spain

[3] UGT Univ Fuerzas Armadas ESPE, Sangolqui, Ecuador

来源：

2017 CHILEAN CONFERENCE ON ELECTRICAL, ELECTRONICS ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES (CHILECON) | 2017年

关键词：

Video Stabilization; Motion Smoothing; Warping; RANSAC; Geometric Transform; feature points; Filter;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper we present an optimization algorithm for simultaneously detecting video freeze and obtaining the minimum number of the frame required in motion intention estimation for real time robust video stabilization on multirotor unmanned aerial vehicles. A combination of a filter and a threshold is used to the video freeze detection, and for optimizing the algorithm, we find the minimum number of frames for motion intention estimation without decrease the performance.

引用

页数：4

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