DocumentCode :
1156154
Title :
Multiresolution and Wide-Scope Depth Estimation Using a Dual-PTZ-Camera System
Author :
Wan, Dingrui ; Zhou, Jie
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing
Volume :
18
Issue :
3
fYear :
2009
fDate :
3/1/2009 12:00:00 AM
Firstpage :
677
Lastpage :
682
Abstract :
Depth information is a critical cue for scene understanding which is very important for video surveillance. Traditional depth estimation approaches based on stereo vision have been well studied in past decades. However, little research is conducted with active cameras. In this correspondence, we discuss the depth estimation problem by employing dual-PTZ (pan/tilt/zoom)-camera system. The contributions of this correspondence includes the following three aspects: 1) we analyze the effect on depth´s precision with different PTZ settings; 2) we propose a coarse-to-fine framework to deal with depth estimation problem for complex region; 3) we offer a method to generate mosaic of depth maps to combine depth information from different visual angles and resolutions for large scope. These contributions will widen the usage of dual-PTZ-camera systems to a greater extent. Real-data experimental results show that the proposed approach works well.
Keywords :
active vision; image resolution; image segmentation; image sensors; video surveillance; active cameras; active vision systems; coarse-to-fine framework; depth estimation problem; depth precision effect; dual-PTZ-camera system; mosaic generation; multiresolution depth estimation; pan-tilt-zoom camera system; video surveillance; visual angles; Calibration; Cameras; Computer vision; Image resolution; Information analysis; Layout; Machine vision; Stereo vision; Video surveillance; Visual system; Depth estimation; dual-PTZ-camera system; stereo vision; Algorithms; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Photogrammetry; Reproducibility of Results; Sensitivity and Specificity; Video Recording;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/TIP.2008.2011178
Filename :
4782068
Link To Document :
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