Call for Papers:Vol.9 Issue.2

Submission
Last date		 30-Apr-2023
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-9,Issue-2. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Theft Detection System using Convolutional Neural Network and Object Tracking
PaperId: :  10384
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 5 Issue 3 2019
DUI:    16.0415/IJARIIE-10384
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Pallav DoshiNBN Sinhgad School of Engineering
Shubhankar PunktambekarNBN Sinhgad School of Engineering
Niraj KiniNBN Sinhgad School of Engineering
Simarjeet Singh DhamiNBN Sinhgad School of Engineering

Abstract

Computer Engineering
Convolutional Neural Network, Object Detection, Object Tracking, Theft Prevention System
Todaymodernworldishighlydigitalandhighly connected generating enormous data over the internet with high speed. Such data has led many researchers, scientific professionals to explore this data to enable computing machines to understand the real world as a real human being does. Image processing has been explored as the field to provide machines with a vision of their own of which object detection and its tracing throughout the frame has emerged as the most important and vastly explored topic. In recent years due to the great ability and power with feature learning of the Convolutional Neural network (CNN) it has received an overwhelming interest from the computer vision community, leading through many significant breakthroughs. Firstly the paper will introduce the basic building blocks of CNN. Secondly this paper will dive into the object detection practices which then will lead us to object tracking. Finally the paper will be explain how a theft can be detected by combining object detection and object tracking methodologies.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Pallav Doshi, Shubhankar Punktambekar, Niraj Kini, and Simarjeet Singh Dhami. "Theft Detection System using Convolutional Neural Network and Object Tracking" International Journal Of Advance Research And Innovative Ideas In Education Volume 5 Issue 3 2019 Page 1047-1054
MLA Pallav Doshi, Shubhankar Punktambekar, Niraj Kini, and Simarjeet Singh Dhami. "Theft Detection System using Convolutional Neural Network and Object Tracking." International Journal Of Advance Research And Innovative Ideas In Education 5.3(2019) : 1047-1054.
APA Pallav Doshi, Shubhankar Punktambekar, Niraj Kini, & Simarjeet Singh Dhami. (2019). Theft Detection System using Convolutional Neural Network and Object Tracking. International Journal Of Advance Research And Innovative Ideas In Education, 5(3), 1047-1054.
Chicago Pallav Doshi, Shubhankar Punktambekar, Niraj Kini, and Simarjeet Singh Dhami. "Theft Detection System using Convolutional Neural Network and Object Tracking." International Journal Of Advance Research And Innovative Ideas In Education 5, no. 3 (2019) : 1047-1054.
Oxford Pallav Doshi, Shubhankar Punktambekar, Niraj Kini, and Simarjeet Singh Dhami. 'Theft Detection System using Convolutional Neural Network and Object Tracking', International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 3, 2019, p. 1047-1054. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Theft_Detection_System_using_Convolutional_Neural_Network_and_Object_Tracking_ijariie10384.pdf (Accessed : ).
Harvard Pallav Doshi, Shubhankar Punktambekar, Niraj Kini, and Simarjeet Singh Dhami. (2019) 'Theft Detection System using Convolutional Neural Network and Object Tracking', International Journal Of Advance Research And Innovative Ideas In Education, 5(3), pp. 1047-1054IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Theft_Detection_System_using_Convolutional_Neural_Network_and_Object_Tracking_ijariie10384.pdf (Accessed : )
IEEE Pallav Doshi, Shubhankar Punktambekar, Niraj Kini, and Simarjeet Singh Dhami, "Theft Detection System using Convolutional Neural Network and Object Tracking," International Journal Of Advance Research And Innovative Ideas In Education, vol. 5, no. 3, pp. 1047-1054, May-Jun 2019. [Online]. Available: http://ijariie.com/AdminUploadPdf/Theft_Detection_System_using_Convolutional_Neural_Network_and_Object_Tracking_ijariie10384.pdf [Accessed : ].
Turabian Pallav Doshi, Shubhankar Punktambekar, Niraj Kini, and Simarjeet Singh Dhami. "Theft Detection System using Convolutional Neural Network and Object Tracking." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 5 number 3 ().
Vancouver Pallav Doshi, Shubhankar Punktambekar, Niraj Kini, and Simarjeet Singh Dhami. Theft Detection System using Convolutional Neural Network and Object Tracking. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2019 [Cited : ]; 5(3) : 1047-1054. Available from: http://ijariie.com/AdminUploadPdf/Theft_Detection_System_using_Convolutional_Neural_Network_and_Object_Tracking_ijariie10384.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Crop and Fertilizer Recommendation using AIArtificial IntelligenceSri Rakshitha A K Download
AI Based Chatbot to Answer FAQsArtificial Intelligence and Machine LearningArfa Tazmeen Download
Waste Management in Smart CitiesInformation Science EngineeringThrupthi S Download
Consumer Approach to AI Driven Sentiment Analyzer: A Literature ReviewComputer Science EngineeringKavya P Download
Sentimental Analysiscomputer science engineeringSmita Surendra Patil Download
Analytical Survey on Conversational AI for Therapeutic SessionsComputer EngineeringSiddharth Biju Download
AI & IOT enabled Eco-Friendly Proactive GRS System for People Sustainable Health Management (Smart City)computer engineeringNIDDARA TRIVENI Download
AI-enabled Face Live Tracking Attendance Systemcomputer engineeringDADI RAVI VARMA Download
Photovoltaic Power Prediction With Short Term Boost Converter Using Backpropagation Artificial Neural NetworksElectrical EngineeringBagus Tri Kuncoro, S.T Download
A SURVEY ON FACIAL EMOTION DETECTION SYSTEM USING CONVOLUTION NEURAL NETWORKSComputer SciencePrachi Dubey Download
Solar irradiation forecasting using ProphetMachine Learning Todizara ANDRIANAJAINA Download
Intelligent Security System for TravellingComputer ScienceAkhand Pratap Shahi Download
Improved LBP algorithm using image processing and Viola-JonesComputer scienceYash kulkarni Download
Deep learning applications and challenges in big data analyticsComputer EngineeringDhruva Download
Prognosis Of Stock Rate using Machine Learning TechniquesInformation TechnologyKavinila Anbuchezhian Download
12