Recognition of Theft by Gestures using Kinect Sensor in Machine Learning
Surbhi Kasat
, Kanchan Tupe , Vaishnavi Kshatriya , Roshani More , Ms. Prachi S. Tambe
Abnormal behaviour, Kinect, Posture Recognition, Speech to Text, Alarm, SMS, Image Processing
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.
"Recognition of Theft by Gestures using Kinect Sensor in Machine Learning", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 9, page no.101 - 106, September-2020, Available :https://ijsdr.org/papers/IJSDR2009017.pdf
Volume 5
Issue 9,
September-2020
Pages : 101 - 106
Paper Reg. ID: IJSDR_192428
Published Paper Id: IJSDR2009017
Downloads: 000347212
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
