Digital Video Stabilization System by Adaptive Fuzzy Kalman Filtering
Journal Title: Journal of Information Systems and Telecommunication - Year 2013, Vol 1, Issue 4
Abstract
Digital video stabilization (DVS) allows acquiring video sequences without disturbing jerkiness, removing unwanted camera movements. A good DVS should remove the unwanted camera movements while maintains the intentional camera movements. In this article, we propose a novel DVS algorithm that compensates the camera jitters applying an adaptive fuzzy filter on the global motion of video frames. The adaptive fuzzy filter is a Kalman filter which is tuned by a fuzzy system adaptively to the camera motion characteristics. The fuzzy system is also tuned during operation according to the amount of camera jitters. The fuzzy system uses two inputs which are quantitative representations of the unwanted and the intentional camera movements. Since motion estimation is a computation intensive operation, the global motion of video frames is estimated based on the block motion vectors which resulted by video encoder during motion estimation operation. Furthermore, the proposed method also utilizes an adaptive criterion for filtering and validation of motion vectors. Experimental results indicate a good performance for the proposed algorithm.
Authors and Affiliations
Mohammad Javad Tanakian, Mehdi Rezaei, Farahnaz Mohanna
Keywords
Related Articles
- EP ID EP190097
- DOI 10.7508/jist.2013.04.003
- Views 141
- Downloads 0
Fusion Infrared and Visible Images Using Optimal Weights
Image fusion is a process in which different images recorded by several sensors from one scene are combined to provide a final image with higher quality compared to each individual input image. In fact, combination of di...
A new Sparse Coding Approach for Human Face and Action Recognition
Sparse coding is an unsupervised method which learns a set of over-complete bases to represent data such as image, video and etc. In the cases where we have some similar images from the different classes, using the spars...
Ten Steps for Software Quality Rating Considering ISO/IEC
In software rating area, it is necessary to apply a measurement reference model to evaluate the quality of software. The standard 25030 is an example of an evaluation system which is based on stakeholders' requirements....
Internet Banking, Cloud Computing: Opportunities, Threats
With the extension of Internet and its applications, internet banking is introduced as an efficient and cost effective way to provide services to customers. Towards the end of previous decade, cloud computing has been of...
High I/Q Imbalance Receiver Compensation and Decision Directed Frequency Selective Channel Estimation in an OFDM Receiver Employing Neural Network
The disparity introduced between In-phase and Quadrature components in a digital communication system receiver known as I/Q imbalance is a prime objective within the employment of direct conversion architectures. It redu...