Video Stabilization Using ORB Detector

被引：3
|
作者：
Bansal, Parth [1 ]
Dinesh, Jahanvi B. [1 ]
Kumar, Shravan V. R. [1 ]
Krishna, Sujay B. [1 ]
Chandar, T. S. [1 ]
机构：
[1] PES Univ, Dept ECE, Bangalore, Karnataka, India
来源：
2022 14TH INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2022) | 2022年
关键词：
FAST (Features from Accelerated Segment Test); feature points; affine; global motion estimation; camera path; BRIEF (Binary Robust Independent Elementary Features); ORB (Oriented FAST Rotated BRIEF); FREAK (Fast Retina Key);
D O I：
10.1109/ICCAE55086.2022.9762438
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Capturing a video may result in unwanted effects such as image blurring, distortion due to the noise, etc. To obtain a jitter-free video, this study aims to perform Digital Video Stabilization using an ORB (Oriented FAST Rotated BRIEF) detector to find feature points. It makes use of a Square filter with a moving average window in order to obtain a more stable output video. The goal of this proposed study is to implement the novel methodology to stabilize videos effectively.
引用
收藏
页码：50 / 55
页数：6
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