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Model for Object Detection using Computer Vision and Machine Learning for Decision Making

by Aditya Raj, Manish Kannaujiya, Ajeet Bharti, Rahul Prasad, Namrata Singh, Ishan Bhardwaj and
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 181 - Number 43
Year of Publication: 2019
Authors: Aditya Raj, Manish Kannaujiya, Ajeet Bharti, Rahul Prasad, Namrata Singh, Ishan Bhardwaj and
10.5120/ijca2019918516

Aditya Raj, Manish Kannaujiya, Ajeet Bharti, Rahul Prasad, Namrata Singh, Ishan Bhardwaj and . Model for Object Detection using Computer Vision and Machine Learning for Decision Making. International Journal of Computer Applications. 181, 43 ( Mar 2019), 42-46. DOI=10.5120/ijca2019918516

@article{ 10.5120/ijca2019918516,
author = { Aditya Raj, Manish Kannaujiya, Ajeet Bharti, Rahul Prasad, Namrata Singh, Ishan Bhardwaj and },
title = { Model for Object Detection using Computer Vision and Machine Learning for Decision Making },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2019 },
volume = { 181 },
number = { 43 },
month = { Mar },
year = { 2019 },
issn = { 0975-8887 },
pages = { 42-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume181/number43/30407-2019918516/ },
doi = { 10.5120/ijca2019918516 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:08:59.733547+05:30
%A Aditya Raj
%A Manish Kannaujiya
%A Ajeet Bharti
%A Rahul Prasad
%A Namrata Singh
%A Ishan Bhardwaj and
%T Model for Object Detection using Computer Vision and Machine Learning for Decision Making
%J International Journal of Computer Applications
%@ 0975-8887
%V 181
%N 43
%P 42-46
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper gives the efficient model of the process of detecting the object and analyzing the gesture of an object using the machine learning and computer vision for decision making after surveying various research in the field of pattern recognition.* It is based on the objects behavioural activities, Gesture recognition is very essential for making a decision. This research paper deals with Human-Computer Interaction (HCI). The object is may be hand, face, vehicle etc. In our research work we will extract 3D information about the captured image and calculate the distance of an object from the camera, detect the object gesture further we perform edge detection and then apply vision based and data based object gesture recognition. The implementation of the methodology will be done on the MATLAB tool.

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Index Terms

Computer Science
Information Sciences

Keywords

Object Gesture Hand Gestures Arduino Ultrasonic Sensors Human Computer Interaction (HCI) edge tracking.