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Deep Learning
Face detection and tracking using hybrid margin-based ROI techniques
This study is to solve the problem of low accuracy and slow processing speed for real-time face detection and tracking systems. A …
B. Rehman
,
W.H. Ong
,
A.C.H. Tan
,
T.D. Ngo
Cite
DOI
Using Margin-based Region of Interest Technique with Multi-Task Convolutional Neural Network and Template Matching for Robust Face Detection and Tracking System
Real-time face detection and tracking systems suffer from low accuracy and slow processing speed that lead to poor robustness. This …
B. Rehman
,
O.W. Hong
,
A.T.C. Hong
Cite
DOI
Hybrid model with margin-based real-time face detection and tracking
Face detection and tracking algorithms mainly suffer from low accuracy, slow processing speed, and poor robustness when meet with …
B. Rehman
,
O.W. Hong
,
A.T.C. Hong
Cite
DOI
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