An Improved Single Shot Detector for Face Detection Using Local Binary Patterns
| Autor: | Synh Viet-Uyen Ha, Tin Trung Thai, Duc Tuan Nguyen, Hung Ngoc Phan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Background subtraction
business.industry Computer science Local binary patterns Computation Detector Single shot 02 engineering and technology Image (mathematics) 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence Detection rate business Face detection |
| Zdroj: | ISCIT |
| DOI: | 10.1109/iscit.2019.8905222 |
| Popis: | Face detection plays an important role in indoor surveillance systems. Although there have been many improvements since the 90s, many problems are still unsolved due to the complexity of background, complex computation, long time execution, illumination changes, etc. This paper presents a method to detect faces in a surveillance system under real-world indoor condition. The proposed method combines Background Subtraction Model, Feature–Analysis approach and Image–based approach to localize faces. Many experiments have been conducted with several indoor datasets to evaluate the performance and accuracy of the proposed methods. The result achieves a correct detection rate of 97.072% and processing speed of more than 30 frames per seconds on average. |
| Databáze: | OpenAIRE |
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