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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: April 2024

Volume 9 | Issue 4

Impact factor: 8.15

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Paper Title: Recognition of Theft by Gestures using Kinect Sensor in Machine Learning
Authors Name: Surbhi Kasat , Kanchan Tupe , Vaishnavi Kshatriya , Roshani More , Ms. Prachi S. Tambe
Unique Id: IJSDR2009017
Published In: Volume 5 Issue 9, September-2020
Abstract: Detection of crimes is the prime necessity nowadays. cameras have been popular as measures against thefts. They are useful for deterrence of crimes such as theft and murders, it is possible to detect crimes by installing artificial intelligence to surveillance cameras.In this paper,Kinect motion sensor Device is used to recongnize the gesture of theft.As a real- time recognition of large set of dynamic gestures are needed for that algorithm is used to recognize the gesture and translate them .it includes training cameras. A large amount of gesture and posture data is used to analyze the behavior of person that means its a Theft or not by the image processing and the data size is larger as they are image data, For that Dynamic time wrapping is used to analyse the object and person. We propose an idea to judge a behavior gesture of a person using Kinect sensor in order to detect crimes at real-time.
Keywords: Abnormal behaviour, Kinect, Posture Recognition, Speech to Text, Alarm, SMS, Image Processing
Cite Article: "Recognition of Theft by Gestures using Kinect Sensor in Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 9, page no.101 - 106, September-2020, Available :http://www.ijsdr.org/papers/IJSDR2009017.pdf
Downloads: 000337074
Publication Details: Published Paper ID: IJSDR2009017
Registration ID:192428
Published In: Volume 5 Issue 9, September-2020
DOI (Digital Object Identifier):
Page No: 101 - 106
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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