Efficient Use of Geometric Constraints for Sliding-Window Object Detection in Video

Patrick Sudowe, Bastian Leibe
International Conference on Computer Vision Systems (ICVS'11).

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.

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Bibtex:
@InProceedings{Sudowe11ICVS,
author = {P. Sudowe and B. Leibe},
title = {{Efficient Use of Geometric Constraints for Sliding-Window Object Detection in Video}},
booktitle = {{International Conference on Computer Vision Systems (ICVS'11)}},
OPTpages = {},
year = {2011},
}




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