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Proceedings Paper

Automatic generation of 360 degree panorama from image sequences
Author(s): Sean Ho; Philip David
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Paper Abstract

Recently, there has been an increasing interest in using panoramic images in surveillance and target tracking applications. With the wide availability of off-the-shelf web-based pan-tilt-zoom (PTZ) cameras and the advances of CPUs and GPUs, object tracking using mosaicked images that cover a scene of 360° in near real-time has become a reality. This paper presents a system that automatically constructs and maps full view panoramic mosaics to a cube-map from images captured from an active PTZ camera with 1-25x optical zoom. A hierarchical approach is used in storing and mosaicking multi-resolution images captured from a PTZ camera. Techniques based on scale-invariant local features and probabilistic models for verification are used in the mosaicking process. Our algorithm is automatic and robust in mapping each incoming image to one of the six faces of a cube with no prior knowledge of the scene structure. This work can be easily integrated to a surveillance system that wishes to track moving objects in its 360° surrounding.

Paper Details

Date Published: 15 September 2008
PDF: 9 pages
Proc. SPIE 7073, Applications of Digital Image Processing XXXI, 70731J (15 September 2008); doi: 10.1117/12.795121
Show Author Affiliations
Sean Ho, Army Research Lab. (United States)
Philip David, Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 7073:
Applications of Digital Image Processing XXXI
Andrew G. Tescher, Editor(s)

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