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Single-Image Crowd Counting via Multi-Column …

Single-Image Crowd Counting via Multi-Column Convolutional Neural NetworkYingying Zhang Desen Zhou Siqin Chen Shenghua Gao Yi MaShanghaitech paper aims to develop a method than can accuratelyestimate the Crowd count from an individual image with ar-bitrary Crowd density and arbitrary perspective. To this end,we have proposed a simple but effective Multi-Column Con-volutional Neural Network (MCNN) architecture to map theimage to its Crowd density map. The proposed MCNN al-lows the input image to be of arbitrary size or utilizing filters with receptive fields of different sizes, thefeatures learned by each column CNN are adaptive to varia-tions in people/head size due to perspective effect or imageresolution.

1. Introduction In the new year eve of 2015, 35 people were killed in a massive stampede in Shanghai, China. Unfortunately, s-ince then, many more massive stampedes have taken place around the world which have claimed many more victim-s. Accurately estimating crowds from images or videos has become an increasingly important application of computer

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