DocumentCode :
2711687
Title :
Video stabilization with a depth camera
Author :
Liu, Shuaicheng ; Wang, Yinting ; Yuan, Lu ; Bu, Jiajun ; Tan, Ping ; Sun, Jian
Author_Institution :
Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2012
fDate :
16-21 June 2012
Firstpage :
89
Lastpage :
95
Abstract :
Previous video stabilization methods often employ homographies to model transitions between consecutive frames, or require robust long feature tracks. However, the homography model is invalid for scenes with significant depth variations, and feature point tracking is fragile in videos with textureless objects, severe occlusion or camera rotation. To address these challenging cases, we propose to solve video stabilization with an additional depth sensor such as the Kinect camera. Though the depth image is noisy, incomplete and low resolution, it facilitates both camera motion estimation and frame warping, which make the video stabilization a much well posed problem. The experiments demonstrate the effectiveness of our algorithm.
Keywords :
image resolution; image sensors; motion estimation; object tracking; video cameras; video signal processing; Kinect camera; camera motion estimation; depth camera; depth image noise; depth sensor; depth variation; feature point tracking; frame warping; homography model; image resolution; video stabilization; Cameras; Robustness; Sensors; Streaming media; Tracking; Trajectory; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on
Conference_Location :
Providence, RI
ISSN :
1063-6919
Print_ISBN :
978-1-4673-1226-4
Electronic_ISBN :
1063-6919
Type :
conf
DOI :
10.1109/CVPR.2012.6247662
Filename :
6247662
Link To Document :
بازگشت