Ghidoni, Stefano and Cielniak, Grzegorz and Menegatti, Emanuele (2012) Texture-based crowd detection and localisation. In: The 12th International Conference on Intelligent Autonomous Systems, June 26-29, 2012, Jeju Island, Korea.

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Abstract

This paper presents a crowd detection system based on texture analysis. The state-of-the-art techniques based on co-occurrence matrix have been revisited and a novel set of features proposed. These features provide a richer description of the co-occurrence matrix, and can be exploited to obtain stronger classification results, especially when smaller portions of the image are considered. This is extremely useful for crowd localisation: acquired images are divided into smaller regions in order to perform a classification on each one. A thorough evaluation of the proposed system on a real world data set is also presented: this validates the improvements in reliability of the crowd detection and localisation.

Item Type:	Conference or Workshop Item (Paper)
Keywords:	crowd detection, crowd localisation, texture recognition, AdaBoost, ref11, refpdf
Subjects:	G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:	College of Sciences > Faculty of Science > Lincoln School of Computer Science
Depositing User:	Grzegorz Cielniak
Date Deposited:	28 Jun 2012 10:45
Last Modified:	15 May 2013 08:05
URI:	http://eprints.lincoln.ac.uk/id/eprint/5935

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