Title :
Video Stabilization with Optimized Motion Estimation Resolution
Author :
Batur, Aziz Umit ; Flinchbaugh, B.
Author_Institution :
Digital Signal Process. R&D Center, Texas Instrum., Dallas, TX, USA
Abstract :
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.
Keywords :
image resolution; jitter; motion estimation; video cameras; camera panning; hierarchical clustering technique; jitter estimation; motion estimation resolution; moving objects; video stabilization algorithm; Algorithm design and analysis; Cameras; Clustering algorithms; Computational complexity; Jitter; Layout; Motion analysis; Motion estimation; Optimization methods; Robustness; Motion analysis; motion compensation; video signal processing;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312494