A Computer Vision System to Localize and Classify Wastes on the Streets

10/31/2017
by   Mohammad Saeed Rad, et al.
0

Littering quantification is an important step for improving cleanliness of cities. When human interpretation is too cumbersome or in some cases impossible, an objective index of cleanliness could reduce the littering by awareness actions. In this paper, we present a fully automated computer vision application for littering quantification based on images taken from the streets and sidewalks. We have employed a deep learning based framework to localize and classify different types of wastes. Since there was no waste dataset available, we built our acquisition system mounted on a vehicle. Collected images containing different types of wastes. These images are then annotated for training and benchmarking the developed system. Our results on real case scenarios show accurate detection of littering on variant backgrounds.

READ FULL TEXT

page 2

page 7

page 9

page 10

research
09/03/2019

A CNN-based approach to classify cricket bowlers based on their bowling actions

With the advances in hardware technologies and deep learning techniques,...
research
06/30/2021

Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges

We provide a comprehensive overview of adversarial machine learning focu...
research
01/09/2015

HOG based Fast Human Detection

Objects recognition in image is one of the most difficult problems in co...
research
05/11/2022

Deep Learning and Computer Vision Techniques for Microcirculation Analysis: A Review

The analysis of microcirculation images has the potential to reveal earl...
research
10/20/2019

PID: A New Benchmark Dataset to Classify and Densify Pavement Distresses

Automated pavement distresses detection using road images remains a chal...
research
05/05/2020

A new design of a flying robot, with advanced computer vision techniques to perform self-maintenance of smart grids

In this paper, we present a full design of a flying robot to investigate...
research
04/26/2021

Machine Learning based Lie Detector applied to a Collected and Annotated Dataset

Lie detection is considered a concern for everyone in their day to day l...

Please sign up or login with your details

Forgot password? Click here to reset