Automatic Mosaicking of 360¿ Panorama in Video Surveillance

Report No. ARL-TR-4670
Authors: Sean Ho and Philip David
Date/Pages: December 2008; 20 pages
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 Graphics Processing Units (GPUs), object tracking using mosaicked images that cover a scene of 360¿ in near real-time has become a reality. This report 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 1-25¿ 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¿ surroundings.
Distribution: Approved for public release
  Download Report ( 0.422 MBytes )
If you are visually impaired or need a physical copy of this report, please visit and contact DTIC.

Last Update / Reviewed: December 1, 2008