JOURNAL ARTICLE

Real-time face detection based on YOLO

Yang WangJiachun Zheng

Year: 2018 Journal:   2018 1st IEEE International Conference on Knowledge Innovation and Invention (ICKII)

Abstract

As a target detection system, YOLO has a fast detection speed and is suitable for target detection in real-time environment. Compared with other similar target detection systems, it has better detection accuracy and faster detection time. This paper is based on YOLO network and applied to face detection. In this paper, YOLO target detection system is applied to face detection. Experimental results show that the face detection method based on YOLO has stronger robustness and faster detection speed. Still in a complex environment can guarantee the high detection accuracy. At the same time, the detection speed can meet real-time detection requirements.

Keywords:
Face detection Computer science Robustness (evolution) Artificial intelligence Object detection Object-class detection Computer vision Face (sociological concept) Pattern recognition (psychology) Facial recognition system

Metrics

128
Cited By
6.69
FWCI (Field Weighted Citation Impact)
12
Refs
0.96
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
IoT-based Smart Home Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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