Video Stabilization with Optimized Motion Estimation Resolution
Autor: | Aziz Umit Batur, Bruce E. Flinchbaugh |
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Rok vydání: | 2006 |
Předmět: |
Motion analysis
Motion compensation Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image stabilization Match moving Camera auto-calibration Motion estimation Computer vision Artificial intelligence Panning (camera) business Image resolution ComputingMethodologies_COMPUTERGRAPHICS Block-matching algorithm |
Zdroj: | ICIP |
DOI: | 10.1109/icip.2006.312494 |
Popis: | We propose a video stabilization algorithm that removes camera jitter in complex scenes with moving objects. Our algorithm is based on analyzing the content of the video according to the accumulated motion between the scene and the camera, which provides a simple and robust way of estimating jitter in the presence of camera panning and moving objects. We also describe a method of reducing the computational complexity of our algorithm by using a hierarchical clustering technique that optimizes the motion estimation resolution at different scene locations. |
Databáze: | OpenAIRE |
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