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About A Deep Learning Approach For Face Detection and Lo
The document describes a deep learning approach for face detection and location on highways. The approach uses an improved Multi-task Cascaded Convolutional Networks (MTCNN) model combined with a Support Vector Machine (SVM) for accurate face detection and feature location of drivers' faces under complex highway conditions. The model is trained on a custom traffic driver face database and shows better performance than other state-of-the-art techniques for driver face detection and alignment, maintaining robustness to occlusions, varying poses, and extreme illumination on highways.
Detailed Information
| Author: | ['Temitayo Olutimi Ejidokun'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 7 |
| Language: | English |
| Format: | |
| Price: | FREE |
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