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Automatic Parking Lot Occupancy Comp...
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Justo Torres, Francisco Alberto.
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Automatic Parking Lot Occupancy Computation Using Motion Tracking.
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Automatic Parking Lot Occupancy Computation Using Motion Tracking./
作者:
Justo Torres, Francisco Alberto.
面頁冊數:
53 p.
附註:
Source: Masters Abstracts International, Volume: 52-03.
Contained By:
Masters Abstracts International52-03(E).
標題:
Computer Science. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1524490
ISBN:
9781303554872
Automatic Parking Lot Occupancy Computation Using Motion Tracking.
Justo Torres, Francisco Alberto.
Automatic Parking Lot Occupancy Computation Using Motion Tracking.
- 53 p.
Source: Masters Abstracts International, Volume: 52-03.
Thesis (M.S.)--Florida Atlantic University, 2013.
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.
ISBN: 9781303554872Subjects--Topical Terms:
626642
Computer Science.
Automatic Parking Lot Occupancy Computation Using Motion Tracking.
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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.
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