Vehicle detection and classification on road

Vehicle detection and classification on road

Registration ID: IJNRD_209127

Published ID: IJNRD2311233

DOI: Click Here to Get

Sunny Shrivas , Ayan Shaikh , Vaishnavi Patil , Tanvi Pawar

Vehicle detection using CNN

In this paper, we present an efficient and effective framework for vehicle detection and classification from traffic surveillance cameras. First, we cluster the vehicle scales and aspect ratio in the vehicle datasets. Then, we use convolution neural network (CNN) to detect a vehicle. We utilize feature fusion techniques to concatenate highlevel features and low-level features and detect different sizes of vehicles on different features. In order to improve speed, we naturally adopt fully convolution architecture instead of fully connection (FC) layers. Furthermore, recent complementary advances such as batch- norm, hard example mining, and inception have been adopted. Extensive experiments on JiangSuHighway Dataset (JSHD) demonstrate the competitive performance of our method. Our framework obtains a significant improvement over the Faster R- CNN by 6.5% mean average precision(mAP). With 1.5G GPU memory at test phase, the speed of the network is 15 FPS, three times faster than the Faster R- CNN.

Published Paper   E-Certificate

"Vehicle detection and classification on road", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.8, Issue 11, page no.c266-c270, November-2023, Available :https://ijnrd.org/papers/IJNRD2311233.pdf

Volume 8 Issue 11, November-2023

Pages : c266-c270

Paper Reg. ID: IJNRD_209127

Published Paper Id: IJNRD2311233

Downloads: 000121165

Research Area: Engineering

Country: Pune, Maharashtra , India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2311233.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2311233

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

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