Paper Info
Title
A visual sensor network for parking lot occupancy detection in Smart Cities
Abstract
Technology is quickly revolutionizing our everyday lives, helping us to perform complex tasks. The Internet of Things (IoT) paradigm is getting more and more popular and is key to the development of Smart Cities. Among all the applications of IoT in the context of Smart Cities, real-time parking lot occupancy detection recently gained a lot of attention. Solutions based on computer vision yield good performance in terms of accuracy and are deployable on top of visual sensor networks. Since the problem of detecting vacant parking lots is usually distributed over multiple cameras, adhoc algorithms for content acquisition and transmission are to be devised. A traditional paradigm consists in acquiring and encoding images or videos and transmitting them to a central controller, which is responsible for analyzing such content. A novel paradigm, which moves part of the analysis to sensing devices, is quickly becoming popular. We propose a system for distributed parking lot occupancy detection based on the latter paradigm, showing that onboard analysis and transmission of simple features yield better performance with respect to the traditional paradigm in terms of the overall rate-energy-accuracy performance.
Year
DOI
Venue
2015
10.1109/WF-IoT.2015.7389147
WF-IoT
Keywords
Field
DocType
Parking Lot Occupancy Detection, Smart Parking, IoT, Visual Sensor Network, Visual Features
Control theory,Parking lot,Parking guidance and information,Computer science,Computer security,Visual sensor network,Computer network,Occupancy,Simple Features,Wireless sensor network,Encoding (memory)
Conference
Citations 
PageRank 
References 
4
0.46
11
Authors
5
Name
Order
Citations
PageRank
Luca Baroffio123614.46
Luca Bondi240.46
Matteo Cesana382663.33
Alessandro Redondi428025.99
Marco Tagliasacchi586968.63