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Erschienen in:
2011 | OriginalPaper | Buchkapitel
Efficient Use of Geometric Constraints for Sliding-Window Object Detection in Video
verfasst von : Patrick Sudowe, Bastian Leibe
Erschienen in: Computer Vision Systems
Verlag: Springer Berlin Heidelberg
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We systematically investigate how geometric constraints can be used for efficient sliding-window object detection. Starting with a general characterization of the space of sliding-window locations that correspond to geometrically valid object detections, we derive a general algorithm for incorporating ground plane constraints directly into the detector computation. Our approach is indifferent to the choice of detection algorithm and can be applied in a wide range of scenarios. In particular, it allows to effortlessly combine multiple different detectors and to automatically compute regions-of-interest for each of them. We demonstrate its potential in a fast
CUDA
implementation of the
HOG
detector and show that our algorithm enables a factor 2-4 speed improvement on top of all other optimizations.