Efficient local transformation estimation using Lie operators
Information Sciences: an International Journal
Scene based non-uniformity correction in thermal images using Kalman filter
Image and Vision Computing
Global parametric image alignment via high-order approximation
Computer Vision and Image Understanding
Fast and accurate global motion estimation algorithm using pixel subsampling
Information Sciences: an International Journal
Analysis and Hardware Architecture Design of Global Motion Estimation
Journal of Signal Processing Systems
Personnel tracking on construction sites using video cameras
Advanced Engineering Informatics
High-resolution multi-sprite generation for background sprite coding
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
An object recognition strategy base upon foreground detection
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part III
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This paper presents a fast global motion estimation (GME) algorithm based on gradient methods (GM), which can be used for real-time applications, such as in MPEG4 video compression. This approach improves the existing state-of-the-art GME algorithms by introducing two major modifications: first, only a small subset (down to 3%) of the original image pixels is used in the estimation process. Second, an interpolation-free formulation of the basic GM is derived, further decreasing the computational complexity. Experimental results show no loss of GME accuracy and compression efficiency compared to the MPEG-4 verification model, while reducing the computational complexity of the GME by a factor of 20.