Open AccessObject Detection Based on Faster R-Cnn
Author(s) -
Melisa Sri,
Bighnaraj Naik,
K. Jaya Sankar
Publication year - 2021
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c2186.0210321
Subject(s) - computer science , object detection , artificial intelligence , convolutional neural network , object (grammar) , deep learning , pattern recognition (psychology) , artificial neural network , computer vision , simple (philosophy) , deep neural networks , cognitive neuroscience of visual object recognition , viola–jones object detection framework , image processing , image (mathematics) , face detection , philosophy , epistemology , facial recognition system
In recent years there is rapid improvement in Object detection in areas of video analysis and image processing applications. Determing a desired object became an important aspect, so that there are many numerous of methods are evolved in Object detection. In this regard as there is rapid development in Deep Learning for its high-level processing, extracting deeper features, reliable and flexible compared to conventional techniques. In this article, the author proposes Object detection with deep neural networks and faster region convolutional neural networks methods for providing a simple algorithm which provides better accuracy and mean average precision.