Feature-based real-time video stabilization for vehicle video recorder system

被引：0
作者：
Wu-Chih Hu
Chao-Ho Chen
Yi-Jen Su
Tzu-Hsing Chang
机构：
[1] National Penghu University of Science and Technology,Department of Computer Science and Information Engineering
[2] National Kaohsiung University of Applied Sciences,Department of Electronic Engineering
[3] Shu-Te University,Department of Computer Science and Information Engineering
来源：
Multimedia Tools and Applications | 2018年 / 77卷
关键词：
Video stabilization; Moving camera; Optical flow; Feature point;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents a fast and effective method based on features to obtain real-time video stabilization for vehicle video recorder system. The corresponding feature points are first obtained from two consecutive frames and then optical flows are calculated based on these points. Next, the obtained optical flows are mapped to polar coordinates to obtain clusters and remove incorrect optical flows. These obtained clusters are used to evaluate the global motion and rotation angle. Finally, the obtained global motion and rotation angle are smoothed and then compensated to obtain the stabilized video. Experimental results show that the proposed method has good performance for video stabilization.
引用
收藏
页码：5107 / 5127
页数：20
相关论文
共 77 条
[1]  
Choi W(2013)A general framework for tracking multiple people from a moving camera IEEE Trans Pattern Anal Mach Intell 35 1577-1591
[2]  
Pantofaru C(1972)Use of the Hough transformation to detect lines and curves in pictures Commun ACM 15 11-15
[3]  
Savarese S(2012)Object detection from videos captured by moving camera by fuzzy edge incorporated Markov random field and local histogram matching IEEE Trans Circuits Syst Video Technol 22 1127-1135
[4]  
Duda RO(2004)A survey on visual surveillance of object motion and behavior IEEE Trans Sys Man Cybern—Part C: Appl Rev 34 334-352
[5]  
Hart PE(2011)Robust real-time ship detection and tracking for visual surveillance of cage aquaculture J Vis Commun Image Represent 22 543-556
[6]  
Ghosh A(2015)Moving object detection and tracking from video captured by moving camera J Vis Commun Image Represent 30 164-180
[7]  
Subudhi BN(2012)Feature-based vehicle flow analysis and counting for a real-time traffic surveillance system Journal of Information Hiding and Multimedia Signal Processing 3 282-296
[8]  
Ghosh S(2014)Constrained 3D rotation smoothing via global manifold regression for video stabilization IEEE Trans Signal Process 62 3293-3304
[9]  
Hu W(1960)A new approach to linear filtering and prediction problems Transactions of the ASME-Journal of Basic Engineering 82 35-45
[10]  
Tan T(2013)Feature point classification based global motion estimation for video stabilization IEEE Trans Consum Electron 59 267-272
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