Development of a Block-Based Real-Time People Counting System

Autor:	Jaihie Kim, Hyun Hee Park, Hyung Gu Lee, Seung-In Noh
Rok vydání:	2006
Předmět:	symbols.namesake Background subtraction Computer science business.industry Gaussian Pattern recognition (psychology) Subtraction symbols Image processing Computer vision Artificial intelligence business Block (data storage)
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540372363 SSPR/SPR
DOI:	10.1007/11815921_40
Popis:	In this paper, we propose a block-based real-time people counting system that can be used in various environments including shopping mall entrances, elevators and escalators. The main contributions of this paper are robust background subtraction, the block-based decision method and real-time processing. For robust background subtraction obtained from a number of image sequences, we used a mixture of K Gaussian. The block-based decision method was used to determine the size of the given objects (moving people) in each block. We divided the images into 72 blocks and trained the mean and variance values of the specific objects in each block. This was done in order to provide real-time processing for up to 4 channels. Finally, we analyzed various actions that can occur with moving people in real world environments.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::56e9e5fd2cea5e048e4ef034a1f9d7cf https://doi.org/10.1007/11815921_40 Zobrazit plný text záznamu