Results 41 to 50 of about 982 (204)
Fatigue Driving Detection Algorithm Based on Deep Learning [PDF]
To realize identification and warning of fatigue driving detection in complex driving environment,this paper proposes an algorithm for fatigue driving detection based on deep learning.
ZHENG Weicheng, LI Xuewei, LIU Hongzhe, DAI Songyin
doaj +1 more source
Penggabungan Algoritma Dlib Face Recognition dan MTCNN untuk Mendeteksi Wajah Secara Lebih Akurat
Salah satu tantangan terbesar dalam teknik pemrosesan gambar adalah deteksi wajah, dimana tugas ini harus mengelola variasi yang dapat terjadi akibat dari perubahan cahaya, oklusi, dan fitur wajah, membuat deteksi wajah dalam gambar menjadi kompleks ...
Mahesa, Rahadian Adjie
core
Real TimeDetection and Tracking Method of Pilot’sHeadPositionBased on MTCNN-DeepSORT
Abstract In view of the problems of the traditional head detection and tracking technology in pilot cabin simulation training, such as low precision, poor real-time performance and easy to be interfered by the outside world, we propose a head detection and tracking method based on MTCNN-DeepSORT combined with deep learning method ...
Limin Zhang +3 more
openaire +1 more source
ABSTRACT Analysing learners' facial expressions during learning and exploring their learning processes and emotional changes are of great significance for assisting teachers' teaching and promoting smart education. In complex learning environments, static facial expression recognition fails to capture the dynamic changes of learners' expressions losing
Wei Liu +6 more
wiley +1 more source
The continuous demand for reliable and privacy‐sensitive face recognition and detection has led to improvements in machine learning and federated learning (FL) frameworks. While the centralized framework of existing solutions is beneficial for data collection, it presents significant privacy concerns and challenges due to the diversity of data types ...
Wisam Hazim Gwad +4 more
wiley +1 more source
Face detection in complex environments remains challenging due to trade-offs between accuracy and computational efficiency, particularly for edge devices with limited resources. GhostNet-MTCNN is proposed.
Chen Wang, Fen Liu
doaj +1 more source
A Robust Multi‐Oriented License Plate Detector and A Derived End‐to‐End License Plate Recognizer
This is a research paper on license plate detection and recognition. A new center‐aware license plate detection and end‐to‐end license plate recognition framework is proposed for robust and efficient license plate detection and recognition under unconstrained scenarios.
Xudong Fan, Wei Zhao
wiley +1 more source
This paper presents an efficient adversarial attack method based on generative adversarial networks (GANs) to spoof deepfake detectors.The proposed method combines a GAN branch and a binary classification branch in a two‐branch network model. A joint training strategy is employed to generate visually similar images to the originals while effectively ...
Huanhuan Bao +3 more
wiley +1 more source
Facial Landmark Localization Optimization for Live Streaming Scenarios
To address the problems of low accuracy and poor robustness in facial landmark localization caused by complex conditions such as partial body appearance and large pose variations in live streaming scenarios, this paper proposes a joint optimization scheme for face detection and facial landmark localization tailored for live streaming.
Di Wang, Boqiang Shi, Wenying Zhu
wiley +1 more source
An AIoT‐Based Edge Face Recognition System for Smart Door Access Control on Raspberry Pi
Smart door access control has become an essential component of modern AIoT‐enabled smart home systems. A total of 8 participants were involved in the data collection process. Although numerous Raspberry Pi–based face recognition systems have been reported, most existing studies mainly focus on prototype implementation without providing comprehensive ...
Hung Dao Viet +2 more
wiley +1 more source

