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.
Full content URL: http://www.ias-12.org/data/IAS_TechnicalProgramDet...
ghidoni12texture.pdf - Whole Document
|Item Type:||Conference or Workshop contribution (Paper)|
|Item Status:||Live Archive|
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.
|Keywords:||crowd detection, crowd localisation, texture recognition, AdaBoost|
|Subjects:||G Mathematical and Computer Sciences > G740 Computer Vision|
|Divisions:||College of Science > School of Computer Science|
|Deposited On:||28 Jun 2012 10:45|
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