Wildlife Detection and Recognition in Digital Images Using YOLOv3

被引：2

作者：

Gabriel, Mina ^{[1
]}

Cha, Sangwhan ^{[1
]}

Al-Nakash, Nushwan Yousif B. ^{[1
]}

Yun, Daqing ^{[1
]}

机构：

[1] Harrisburg Univ Sci & Technol, Harrisburg, PA 17101 USA

来源：

2020 IEEE CLOUD SUMMIT | 2020年

关键词：

Deep learning; YOLOv3; wildlife detection and classification; digital images;

D O I：

10.1109/IEEECloudSummit48914.2020.00033

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Recent advances in hardware capability and machine learning techniques enable convenient monitoring of wildlife and their living environments. In this work, we apply Deep Learning (DL) methods to detect and recognize wildlife in digital images and report the experimental results conducted in a commodity workstation. Specifically, YOLOv3 and YOLOv3-Tiny are used to detect and classify several classes of animals based on 9051 digital images and they achieve 75.2% and 68.4% mean average precision, respectively.

引用

页码：170 / 171

页数：2

共 50 条

[1] Detection of Early Pregnancy in Ultrasound Images Using YOLOv3
Teodor, Oana Mihaela
Cirstoiu, Monica Mihaela
Ichim, Loretta
Popescu, Dan
2022 30TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED), 2022, : 188 - 193
[2] Face Detection in Thermal Images with YOLOv3
Silva, Gustavo
Monteiro, Rui
Ferreira, Andre
Carvalho, Pedro
Corte-Real, Luis
ADVANCES IN VISUAL COMPUTING, ISVC 2019, PT II, 2019, 11845 : 89 - 99
[3] Automated Nuclei Detection on Pleural Effusion Cytopathology Images using YOLOv3
Kilic, Busranur
Baykal, Elif
Ekinci, Murat
Dogan, Hulya
Ercin, Mustafa Emre
Ersoz, Safak
2019 4TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ENGINEERING (UBMK), 2019, : 418 - 422
[4] Object detection using stacked YOLOv3
Padmanabula S.S.
Puvvada R.C.
Sistla V.
Kishore Kolli V.K.
Ingenierie des Systemes d'Information, 2020, 25 (05): : 691 - 697
[5] Traffic Sign Detection Using YOLOv3
Mijic, David
Brisinello, Matteo
Vranjes, Mario
Grbic, Ratko
2020 IEEE 10TH INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE-BERLIN), 2020,
[6] Rapid Ship Detection in SAR Images Based on YOLOv3
Zhu, Mingming
Hu, Guoping
Zhou, Hao
Lu, Chunguang
2020 5TH INTERNATIONAL CONFERENCE ON COMMUNICATION, IMAGE AND SIGNAL PROCESSING (CCISP 2020), 2020, : 214 - 218
[7] Modified Yolov3 for Ship Detection with Visible and Infrared Images
Chang, Lena
Chen, Yi-Ting
Wang, Jung-Hua
Chang, Yang-Lang
ELECTRONICS, 2022, 11 (05)
[8] License plate detection and recognition based on YOLOv3 and ILPRNET
Zou, Yongjie
Zhang, Yongjun
Yan, Jun
Jiang, Xiaoxu
Huang, Tengjie
Fan, Haisheng
Cui, Zhongwei
SIGNAL IMAGE AND VIDEO PROCESSING, 2022, 16 (02) : 473 - 480
[9] Small Object Detection Base on YOLOv3 For Pedestrian Recognition
Lai, Yanyu
Sun, Fuchun
Liu, Huaping
2020 THE 5TH INTERNATIONAL CONFERENCE ON CONTROL AND ROBOTICS ENGINEERING (ICCRE 2020), 2020, : 235 - 241
[10] License plate detection and recognition based on YOLOv3 and ILPRNET
Yongjie Zou
Yongjun Zhang
Jun Yan
Xiaoxu Jiang
Tengjie Huang
Haisheng Fan
Zhongwei Cui
Signal, Image and Video Processing, 2022, 16 : 473 - 480

← 1 2 3 4 5 →