Image Stabilization by Features Tracking

Authors:
Alberto Censi;Andrea Fusiello;Vito Roberto
Affiliations:
-;-;-
Venue:
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Year:
1999

Citing 0
Cited 11

Full-Frame Video Stabilization with Motion Inpainting

IEEE Transactions on Pattern Analysis and Machine Intelligence
Motion analysis for human-robot interaction

MMACTE'05 Proceedings of the 7th WSEAS International Conference on Mathematical Methods and Computational Techniques In Electrical Engineering
Dynamic Selection of Characteristics for Feature Based Image Sequence Stabilization

ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Robust video stabilization based on particle filter tracking of projected camera motion

IEEE Transactions on Circuits and Systems for Video Technology
FIR filtering based image stabilization mechanism for mobile video appliances

CIS'04 Proceedings of the First international conference on Computational and Information Science
A video shot boundary detection algorithm based on feature tracking

RSKT'06 Proceedings of the First international conference on Rough Sets and Knowledge Technology
3D-Connected components analysis for traffic monitoring in image sequences acquired from a helicopter

SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Detecting and tracking of multiple pedestrians using motion, color information and the AdaBoost algorithm

Multimedia Tools and Applications
Spatio-temporal weighting in local patches for direct estimation of camera motion in video stabilization

Computer Vision and Image Understanding
Video stabilization using maximally stable extremal region features

Multimedia Tools and Applications
Estimation of horizontal and vertical translations of large images based on columns and rows mean energy matching

Multidimensional Systems and Signal Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a technique for image stabilization in video sequences. The warping that compensates for camera's motion is computed from tracked features in the images. In order to cope with moving objects, a robust technique is used to compute homographies. Moreover, the tracking is made more reliable by using the computed warping to help predicting the features' positions. The effectiveness of the motion compensation is demonstrated by constructing mosaic images from the stabilized sequence and by computing the RMS error. An effort has been made to keep the computational cost low and to reduce the frame rate needed for tracking, with the aim to make a real-time implementation viable.