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Automatic parking lot occupancy computation using motion tracking

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Date Issued:
2013
Summary:
Nowadays it is very hard to find available spots in public parking lots and even harder at facilities such as universities and sports venues. A system that provides drivers with parking availability and parking lot occupancy will allow users find a parking space much easier and faster. This thesis presents a system for automatic parking lot occupancy computation using motion tracking. The use of computer vision techniques and low cost video sensors makes it possible to have an accurate system that allows drivers to find a parking spot. Video bitrate and quality reduction and its impact on performance were studied. It was concluded that high quality video is not necessary for the proposed algorithm to obtain accurate results. The results show that relatively inexpensive and low bandwidth networks can be used to develop large scale parking occupancy applications.
Title: Automatic parking lot occupancy computation using motion tracking.
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Name(s): Justo Torres, Francisco Alberto
College of Engineering and Computer Science
Department of Computer and Electrical Engineering and Computer Science
Type of Resource: text
Genre: Electronic Thesis Or Dissertation
Date Issued: 2013
Publisher: Florida Atlantic University
Physical Form: electronic
Extent: xii, 40 p. : ill. (some col.)
Language(s): English
Summary: Nowadays it is very hard to find available spots in public parking lots and even harder at facilities such as universities and sports venues. A system that provides drivers with parking availability and parking lot occupancy will allow users find a parking space much easier and faster. This thesis presents a system for automatic parking lot occupancy computation using motion tracking. The use of computer vision techniques and low cost video sensors makes it possible to have an accurate system that allows drivers to find a parking spot. Video bitrate and quality reduction and its impact on performance were studied. It was concluded that high quality video is not necessary for the proposed algorithm to obtain accurate results. The results show that relatively inexpensive and low bandwidth networks can be used to develop large scale parking occupancy applications.
Identifier: 860990936 (oclc), 3362483 (digitool), FADT3362483 (IID), fau:4196 (fedora)
Note(s): by Francisco Alberto Justo Torres.
Thesis (M.S.C.S.)--Florida Atlantic University, 2013.
Includes bibliography.
Mode of access: World Wide Web.
System requirements: Adobe Reader.
Subject(s): Traffic estimation
Automobile parking
Transportation engineering
Transportation demand management
Electronics in transportation
Computer vision
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/3362483
Use and Reproduction: http://rightsstatements.org/vocab/InC/1.0/
Host Institution: FAU