Please use this identifier to cite or link to this item:
Title: Real-time human activity monitoring exploring multiple vision sensors
Authors: Peixoto, Paulo 
Batista, Jorge 
Araujo, Helder J. 
Keywords: Surveillance; Active vision; Real-time tracking
Issue Date: 2001
Citation: Robotics and Autonomous Systems. 35:3-4 (2001) 221-228
Abstract: In this paper, we describe the monitoring of human activity in an indoor environment through the use of multiple vision sensors. The system described in this paper is made up of three cameras. Two of these cameras are active and are part of a binocular system. They operate either as a set of three static cameras or as a set of one fixed camera and an active binocular vision system. The human activity is monitored by extracting several parameters that are useful for their classification. The system enables the creation of a record based on the type of activity. These logs can be selectively accessed and provide images of the humans in specific areas.
DOI: 10.1016/S0921-8890(01)00117-8
Rights: openAccess
Appears in Collections:FCTUC Eng.Electrotécnica - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat
file9dc04f27016241ebb331dfa07d0d6c86.pdf214.52 kBAdobe PDFView/Open
Show full item record


checked on Jan 2, 2022

Page view(s) 50

checked on Dec 21, 2021

Download(s) 50

checked on Dec 21, 2021

Google ScholarTM




Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.