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Privacy preserving crowd monitoring: Counting people without people models or tracking
Found in: Computer Vision and Pattern Recognition, IEEE Computer Society Conference on
By Antoni B. Chan, Zhang-Sheng John Liang, Nuno Vasconcelos
Issue Date:June 2008
pp. 1-7
We present a privacy-preserving system for estimating the size of inhomogeneous crowds, composed of pedestrians that travel in different directions, without using explicit object segmentation or tracking. First, the crowd is segmented into components of ho...