IAES International Journal of Artificial Intelligence (IJ-AI)
Vol 2, No 2: June 2013

Counting of People in the Extremely Dense Crowd using Genetic Algorithm and Blobs Counting

Muhammad Arif (Professor, Dept. of Computer Science College of Computer and Information system, Al-Abidiyya Building Um-Alqura University, PO Box 715 Makkah, Saudi Arabia)
Sultan Daud (Unknown)
Saleh Basalamah (Umm Alqura University)

Article Info

Publish Date
01 Jun 2013

Abstract

In this paper, we have proposed a framework to count the moving person in the video automatically in a very dense crowd situation. Median filter is used to segment the foreground from the background and blob analysis is done to count the people in the current frame. Optimization of different parameters is done by using genetic algorithm. This framework is used to count the people in the video recorded in the mattaf area where different crowd densities can be observed. An overall people counting accuracy of more than 96% is obtained.DOI: http://dx.doi.org/10.11591/ij-ai.v2i2.1793

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Journal Info
IAES International Journal of Artificial Intelligence (IJ-AI)
Website

Abbrev

IJAI

Publisher

Institute of Advanced Engineering and Science

Subject

Computer Science & IT Engineering

Description

IAES International Journal of Artificial Intelligence (IJ-AI) publishes articles in the field of artificial intelligence (AI). The scope covers all artificial intelligence area and its application in the following topics: neural networks; fuzzy logic; simulated biological evolution algorithms (like ...