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

Monthly Journal for Science , Computer Science and Engineering

Volume4,June 2017,

Topic : Crowd Analysis using Computer Vision Techniques

Authors:Shivashree G || Dr Anuradha S G

Abstract:Crowd analysis involves the interpretation of data gained studying the natural movement of groups or objects. Crowd analysis presents a survey using computer vision techniques covering different aspects such as people tracking, crowd density estimation, event detection, validation, and simulation. It also has wide range of applications such as crowd management, public space design, virtual environment, visual surveillance and intelligent environment. The major challenge in crowd analysis is the generation of ground thruthed images or video sequences, which can be used either for training or validation purposes.

Keywords: Crowd analysis, tracking, crowd density, crowd synthesis.

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DOI: 01.1617/vol4/iss6/pid64520


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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
Contact : info@ijercse.com


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