Large-scale vehicle detection, indexing, and search in urban surveillance videos
We present a novel approach for visual detection and attribute-based search of vehicles in crowded surveillance scenes. Large-scale processing is addressed along two dimensions: 1) large-scale indexing, where hundreds of billions of events need to be archived per month to enable effective search and 2) learning vehicle detectors with large-scale feature selection, using a feature pool containing millions of feature descriptors. Our method for vehicle detection also explicitly models occlusions...[Show more]
|Collections||ANU Research Publications|
|Source:||IEEE Transactions on Multimedia|
Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.