Large-scale vehicle detection in challenging urban surveillance environments

Abstract

We present a novel approach for vehicle detection in urban surveillance videos, capable of handling unstructured and crowded environments with large occlusions, different vehicle shapes, and environmental conditions such as lighting changes, rain, shadows, and reflections. This is achieved with virtually no manual labeling efforts. The system runs quite… (More)
DOI: 10.1109/WACV.2011.5711549

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