Investigating the effect of shape similarity on object detection

大島商船高等専門学校紀要 Volume 54 Page 16-23

published_at 2021-12

OS10054000004.pdf

[fulltext] 4.51 MB

Title

物体検出における形状の類似性が与える影響の調査

Investigating the effect of shape similarity on object detection

Creators Harada Masafumi

Creators Matsumura Ryo

Creators Kitakaze Hironori

Source Identifiers

Creator Keywords

Convolutional Neural Network(CNN) You Only Look Once(YOLO) Data Augmentation(DA)

In recent years, various damages by crow, a verminous bird has increased. Our research group have been developing an automatic eviction system for verminous birds using drones to reduce the damage caused by crow, cormorants, etc. The input to this system is images of verminous birds taken by a camera mounted on a drone. This image will be used as training data for Convolutional Neural Network. However, the problem with this method is that it cannot identify birds that are similar in color and shape. Therefore, this paper focuses on the shape information, and training has been provided by YOLOv3. As a result, an airplane similar in shape to a crow couldn’t be identified as a crow properly. From this, it was confirmed that shape similarity is an impediment to identification of birds. So, training that emphasizes the characteristics of each bird species is necessary.

Languages jpn

Resource Type departmental bulletin paper

Publishers 大島商船高等専門学校

Date Issued 2021-12

File Version Version of Record

Access Rights open access

Relations

[ISSN]0387-9232

[NCID]AN00031668