YOLO TrashNet: Garbage Detection in Video Streams

被引：32

作者：

De Carolis, Berardina ^{[1
]}

Ladogana, Francesco ^{[1
]}

Macchiarulo, Nicola ^{[2
]}

机构：

[1] Univ Bari, Dept Comp Sci, Bari, Italy

[2] Exprivia SpA, Innovat Lab, Molfetta, Italy

来源：

2020 IEEE INTERNATIONAL CONFERENCE ON EVOLVING AND ADAPTIVE INTELLIGENT SYSTEMS (EAIS) | 2020年

关键词：

Waste management; video stream analysis; compute vision; deep learning;

D O I：

10.1109/eais48028.2020.9122693

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Cities today are beginning their transformation into "smart cities". Beside smart traffic, lighting, and energy management, smart waste is an integral part of any smart city. Particular attention should be given to the abandoned garbage both in public city areas or in places outside of town, such as countryside or suburban roads. Beyond causing the degradation of the area, abandoned garbage can cause pollution and have a negative impact on the quality of life of residents in these areas. Our work focuses on developing a software that is able to detect and report the presence of abandoned waste through the analysis of video streams in real-time. An improved YOLOv3 network model is adopted to perform garbage detection and recognition. The network has been fine-tuned on dataset collected for this purpose. The results show that the proposed approach may represent a major contribution for a more efficient waste management in smart cities.

引用

页数：7

共 10 条

[1]

[Anonymous], 2013, Darknet: Open source neural networks in C

[2]

Awe Oluwasanya, 2017, SMART TRASH NET WAST

[3]

Deng J, 2009, PROC CVPR IEEE, P248, DOI 10.1109/CVPRW.2009.5206848

[4] Microsoft COCO: Common Objects in Context [J].

Lin, Tsung-Yi ;

Maire, Michael ;

Belongie, Serge ;

Hays, James ;

Perona, Pietro ;

Ramanan, Deva ;

Dollar, Piotr ;

Zitnick, C. Lawrence .

COMPUTER VISION - ECCV 2014, PT V, 2014, 8693 :740-755

[5] Research on Automatic Garbage Detection System Based on Deep Learning and Narrowband Internet of Things [J].

Liu, Ying ;

Ge, Zhishan ;

Lv, Guoyun ;

Wang, Shikai .

3RD ANNUAL INTERNATIONAL CONFERENCE ON INFORMATION SYSTEM AND ARTIFICIAL INTELLIGENCE (ISAI2018), 2018, 1069

[6] SpotGarbage: Smartphone App to Detect Garbage Using Deep Learning [J].

Mittal, Gaurav ;

Yagnik, Kaushal B. ;

Garg, Mohit ;

Krishnan, Narayanan C. .

UBICOMP'16: PROCEEDINGS OF THE 2016 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING, 2016, :940-945

[7]

Redmon J, 2018, Arxiv, DOI [arXiv:1804.02767, DOI 10.48550/ARXIV.1804.02767]

[8] YOLO9000: Better, Faster, Stronger [J].

Redmon, Joseph ;

Farhadi, Ali .

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017), 2017, :6517-6525

[9]

Rublee E, 2011, IEEE I CONF COMP VIS, P2564, DOI 10.1109/ICCV.2011.6126544

[10]

Ying Wang, 2018, MATEC Web of Conferences, V232, DOI 10.1051/matecconf/201823201056

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