Face Detection Method in Surveillance Systems Using Haar Feature and Deep Neural Network

Autor:	Tin Trung Thai, Duc Tuan Nguyen
Rok vydání:	2019
Předmět:	Artificial neural network Computer science Feature (computer vision) business.industry Face (geometry) Haar Computer vision Artificial intelligence Frame rate Face detection business Object detection
Zdroj:	2019 6th NAFOSTED Conference on Information and Computer Science (NICS).
DOI:	10.1109/nics48868.2019.9023868
Popis:	Face detection is one of the most widespread applications in the modern world society. Tremendous strides have been made to improve the performance of face detection, however, accuracy and efficiency of face localization in the wild remains an open challenge. This paper presents an efficient method for face detection in a surveillance system. The proposed method combines traditional computer vision method and modern technique. The method has been experimented under several datasets to evaluate the accuracy and efficiency of face localization. The result achieves 96.66% and 26.85 frame per second.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::29a9977b4d65647e20225b5a1f38bf93 https://doi.org/10.1109/nics48868.2019.9023868 Zobrazit plný text záznamu