Authors: 29/03/2026 01:21:22 true; HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY ADV INTELL SYST

Journal: Goal 11: Sustainable cities and communities###25130

Conference: cp

Publisher: 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. © 2013 Springer-Verlag.

Published: 725

DOI: 5

Volume: Ghidoni||Cielniak||Menegatti, Issue: AAC-4100-2022||HRD-8614-2023||GEW-8545-2022, Pages: Stefano||Grzegorz||Emanuele-Dept Informat Engn||Sch Comp Sci||Dept Informat Engn

Keywords: 9783642339257