International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume5,February 2018,

Topic : A Recent Survey on Multiclass Object Recognition and Classification based on Machine learning methods

Authors:Harpreet Singh || Dinesh Gupta, Alok Kumar Singh Kushwaha

Abstract:Multiclass object recognition and classification from the video stream is active research topic in computer vision due to its wide range of application in many emerging areas such as surveillance, medical, safety, vehicle detection. Object recognition and classification task are far more challenging because of image and video data are of heavy and highly variable in nature and harsh nature of real-world recognition and classification scenarios. The processing of image and video data is required to be in real-time. The objective of this paper presents a comprehensive qualitative and quantitative comparative study of several state-of-the-art object recognition and classification methods. We have also examined merits, demerits efficiency of pioneering machine learning methods being used for object recognition and classification..

Keywords: Machine learning, image, video, surveillance, vehicle detection

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DOI: 01.1617/vol5/iss2/pid08249


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 28.69%
ARTICLES PUBLISHED:0521
PAPER RECEIVED:01730
Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
Frequency : monthly
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