INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
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.
Keywords:
Vehicle detection using CNN
Cite Article:
"Vehicle detection and classification on road", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 11, page no.c266-c270, November-2023, Available :http://www.ijnrd.org/papers/IJNRD2311233.pdf
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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
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