MAT-CNN-SOPC: Motionless Analysis of Traffic Using Convolutional Neural Networks on System-On-a-Programmable-Chip

Somdip Dey, Grigorios Kalliatakis, Sangeet Saha, Amit Kumar Singh, Shoaib Ehsan, Klaus McDonald-Maier

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

14 Citations (Scopus)

Abstract

Intelligent Transportation Systems (ITS) have become an important pillar in modern 'smart city' framework which demands intelligent involvement of machines. Traffic load recognition can be categorized as an important and challenging issue for such systems. Recently, Convolutional Neural Network (CNN) models have drawn considerable amount of interest in many areas such as weather classification, human rights violation detection through images, due to its accurate prediction capabilities. This work tackles real-life traffic load recognition problem on System-On-a-Programmable-Chip (SOPC) platform and coin it as MAT-CNN-SOPC, which uses an intelligent retraining mechanism of the CNN with known environments. The proposed methodology is capable of enhancing the efficacy of the approach by 2.44x in comparison to the state-of-art and proven through experimental analysis. We have also introduced a mathematical equation, which is capable of quantifying the suitability of using different CNN models over the other for a particular application based implementation.

Original languageEnglish
Title of host publication2018 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages291-298
Number of pages8
ISBN (Electronic)9781538677537, 9781538677520
ISBN (Print)9781538677544
DOIs
Publication statusPublished - 22 Nov 2018
Externally publishedYes
Event2018 NASA/ESA Conference on Adaptive Hardware and Systems - Edinburgh, United Kingdom
Duration: 6 Aug 20189 Aug 2018

Publication series

NameProceedings of Conference on Adaptive Hardware and Systems
PublisherIEEE
ISSN (Print)1939-7003
ISSN (Electronic)2471-769X

Conference

Conference2018 NASA/ESA Conference on Adaptive Hardware and Systems
Abbreviated titleAHS 2018
Country/TerritoryUnited Kingdom
CityEdinburgh
Period6/08/189/08/18

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