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Embedded CNN based vehicle classification and counting in non-laned road traffic

Published: 04 January 2019 Publication History

Abstract

Classifying and counting vehicles in road traffic has numerous applications in the transportation engineering domain. However, the wide variety of vehicles (two-wheelers, three-wheelers, cars, buses, trucks etc.) plying on roads of developing regions without any lane discipline, makes vehicle classification and counting a hard problem to automate. In this paper, we use state of the art Convolutional Neural Network (CNN) based object detection models and train them for multiple vehicle classes using data from Delhi roads. We get upto 75% MAP on an 80-20 train-test split using 5562 video frames from four different locations. As robust network connectivity is scarce in developing regions for continuous video transmissions from the road to cloud servers, we also evaluate the latency, energy and hardware cost of embedded implementations of our CNN model based inferences.

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Cited By

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  • (2024)Computer Vision Application: Vehicle Counting and Classification System from Real Time VideosInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-15032(207-215)Online publication date: 12-Jan-2024
  • (2024)EXPRESS: A Framework for Execution Time Prediction of Concurrent CNNs on Xilinx DPU AcceleratorACM Transactions on Embedded Computing Systems10.1145/369783524:1(1-31)Online publication date: 3-Oct-2024
  • (2024)FrugalLight : Symmetry-Aware Cyclic Heterogeneous Intersection Control using Deep Reinforcement Learning with Model Compression, Distillation and Domain KnowledgeACM Journal on Computing and Sustainable Societies10.1145/36485992:2(1-32)Online publication date: 19-Feb-2024
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    cover image ACM Other conferences
    ICTD '19: Proceedings of the Tenth International Conference on Information and Communication Technologies and Development
    January 2019
    422 pages
    ISBN:9781450361224
    DOI:10.1145/3287098
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 04 January 2019

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    Author Tags

    1. computer vision
    2. deep neural network
    3. embedded computing
    4. traffic monitoring
    5. urban computing

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    Overall Acceptance Rate 22 of 116 submissions, 19%

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    Cited By

    View all
    • (2024)Computer Vision Application: Vehicle Counting and Classification System from Real Time VideosInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-15032(207-215)Online publication date: 12-Jan-2024
    • (2024)EXPRESS: A Framework for Execution Time Prediction of Concurrent CNNs on Xilinx DPU AcceleratorACM Transactions on Embedded Computing Systems10.1145/369783524:1(1-31)Online publication date: 3-Oct-2024
    • (2024)FrugalLight : Symmetry-Aware Cyclic Heterogeneous Intersection Control using Deep Reinforcement Learning with Model Compression, Distillation and Domain KnowledgeACM Journal on Computing and Sustainable Societies10.1145/36485992:2(1-32)Online publication date: 19-Feb-2024
    • (2024)Implementation of Chicken Eggs Fertility Detection Device Using SSD MobileNet-V2 FPNLite2024 International Electronics Symposium (IES)10.1109/IES63037.2024.10665784(171-177)Online publication date: 6-Aug-2024
    • (2024)Efficient Student Attendance Tracking Using Yolov5 Faces Recognition2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)10.1109/ICONSTEM60960.2024.10568645(1-9)Online publication date: 4-Apr-2024
    • (2024)Traffic Surveillance System: Robust Multiclass Vehicle Detection and Classification2024 5th International Conference on Advancements in Computational Sciences (ICACS)10.1109/ICACS60934.2024.10473304(1-8)Online publication date: 19-Feb-2024
    • (2023)Convolutional Neural Network-Based Vehicle Classification in Low-Quality Imaging Conditions for Internet of Things DevicesSustainability10.3390/su15231629215:23(16292)Online publication date: 24-Nov-2023
    • (2023)Traffic Signal Violation Detection Through Computer Vision2023 4th International Conference on Data Analytics for Business and Industry (ICDABI)10.1109/ICDABI60145.2023.10629616(561-566)Online publication date: 25-Oct-2023
    • (2023)Vehicle Lane Detection for Accident Prevention and Smart Autodrive Using OpenCV2023 International Conference on Computer Communication and Informatics (ICCCI)10.1109/ICCCI56745.2023.10128394(1-5)Online publication date: 23-Jan-2023
    • (2023)Vehicle Image Classification Method Using Vision TransformerArtificial Intelligence and Industrial Applications10.1007/978-3-031-43520-1_19(221-230)Online publication date: 15-Sep-2023
    • Show More Cited By

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