Multiple Object Detection Mechanism Using YOLO

被引：0

作者：

Lohit, G. A. Vishnu ^{[1
]}

Sampath, Nalini ^{[1
]}

机构：

[1] Amrita Vishwa Vidyapeetham, Dept Comp Sci & Engn, Amrita Sch Engn, Bengaluru, India

来源：

DATA ENGINEERING AND COMMUNICATION TECHNOLOGY, ICDECT-2K19 | 2020年 / 1079卷

关键词：

IDLE; YOLO; IoU; UAV; NMS;

D O I：

10.1007/978-981-15-1097-7_48

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Object detection is a computer technology which relates with image processing and computer technology. There are many cases where in a given situation there is a need for faster object detection. For example, consider a traffic scenario or a case of natural disaster. In such areas, the detection of humans or specified objects becomes difficult. In such cases, there is a need for the better and quicker detection mechanism. Thus, in this paper, we proposed the YOLO detection technique. This technique uses the concept of deep neural networks and helps in the faster recognition of humans and objects.

引用

页码：577 / 587

页数：11

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