Person and Vehicle Tracking in Surveillance Video

Authors:
Andrew Miller;Arslan Basharat;Brandyn White;Jingen Liu;Mubarak Shah
Affiliations:
Computer Vision Lab at University of Central Florida,;Computer Vision Lab at University of Central Florida,;Computer Vision Lab at University of Central Florida,;Computer Vision Lab at University of Central Florida,;Computer Vision Lab at University of Central Florida,
Venue:
Multimodal Technologies for Perception of Humans
Year:
2008

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Abstract

This evaluation for person and vehicle tracking in surveillance presented some new challenges. The dataset was large and very high-quality, but with difficult scene properties involving illumination changes, unusual lighting conditions, and complicated occlusion of objects.Since this is a well-researched scenario [1], our submission was based primarily on our existing projects for automated object detection and tracking in surveillance. We also added several new features that are practical improvements for handling the difficulties of this dataset.