Review on Methodologies of Object Detection

5 Pages Posted: 28 Mar 2019

See all articles by Sumesh Shetty

Sumesh Shetty

University of Mumbai - Pillai College of Engineering

Aditi Sharma

University of Mumbai - Pillai College of Engineering

Apurva Patil

University of Mumbai - Pillai College of Engineering

Atul Patil

University of Mumbai - Pillai College of Engineering

Date Written: March 28, 2019

Abstract

This project is an application of Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) in the field of object detection and classification. CNN's are best applicable in image and video recognition. The system proposed in this project involves training the network over images and processing the input video frames for testing. The model will be trained over images of potholes, road signs and pedestrians. The dataset of images for potholes is created, as there is no specific dataset available. The dataset of images for road signs and pedestrians is created by collecting images from various sources and formatting them. The model will be trained over these datasets and tested on a real time video. This is a prototype which can be implemented in automated cars and can be used by car drivers as an Android application, which detects the objects and alerts the user through a voice message.

Keywords: Real time monitoring, Pothole detection, Pedestrian detection, Road sign detection, Automated Car

Suggested Citation

Shetty, Sumesh and Sharma, Aditi and Patil, Apurva and Patil, Atul, Review on Methodologies of Object Detection (March 28, 2019). Proceedings 2019: Conference on Technologies for Future Cities (CTFC), Available at SSRN: https://ssrn.com/abstract=3361545 or http://dx.doi.org/10.2139/ssrn.3361545

Sumesh Shetty (Contact Author)

University of Mumbai - Pillai College of Engineering ( email )

Dr. K. M.Vasudevan Pillai Campus
Plot 10, Sector 16, New Panvel
Navi Mumbai, 410206
India

Aditi Sharma

University of Mumbai - Pillai College of Engineering ( email )

Dr. K. M.Vasudevan Pillai Campus
Plot 10, Sector 16, New Panvel
Navi Mumbai, 410206
India

Apurva Patil

University of Mumbai - Pillai College of Engineering ( email )

Dr. K. M.Vasudevan Pillai Campus
Plot 10, Sector 16, New Panvel
Navi Mumbai, 410206
India

Atul Patil

University of Mumbai - Pillai College of Engineering ( email )

Dr. K. M.Vasudevan Pillai Campus
Plot 10, Sector 16, New Panvel
Navi Mumbai, 410206
India

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