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Counting people in crowds with a real-time network of simple image sensors
2003
Proceedings Ninth IEEE International Conference on Computer Vision
Estimating the number of people in a crowded environment is a central task in civilian surveillance. Most vision-based counting techniques depend on detecting individuals in order to count, an unrealistic proposition in crowded settings. We propose an alternative approach that directly estimates the number of people. In our system, groups of image sensors segment foreground objects from the background, aggregate the resulting silhouettes over a network, and compute a planar projection of the
doi:10.1109/iccv.2003.1238325
dblp:conf/iccv/YangGG03
fatcat:5vbifbjwavf43avflckdd7oaze