Results 1 to 10 of about 559 (154)

Real-world Attack on MTCNN Face Detection System [PDF]

2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON), 2019
Recent studies proved that deep learning approaches achieve remarkable results on face detection task. On the other hand, the advances gave rise to a new problem associated with the security of the deep convolutional neural network models unveiling potential risks of DCNNs based applications. Even minor input changes in the digital domain can result in
Mikhail Pautov
exaly   +3 more sources

Historical Blurry Video-Based Face Recognition [PDF]

Journal of Imaging
Face recognition is a widely used computer vision, which plays an increasingly important role in user authentication systems, security systems, and consumer electronics.
Lujun Zhai, Suxia Cui, Yonghui Wang, Song Wang, Jun Zhou, Greg Wilsbacher   +5 more
doaj   +2 more sources

System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures [PDF]

Sensors, 2023
The amount of road accidents caused by driver drowsiness is one of the world’s major challenges. These accidents lead to numerous fatal and non-fatal injuries which impose substantial financial strain on individuals and governments every year.
Jaspreet Singh Bajaj, Naveen Kumar, Rajesh Kumar Kaushal, H. L. Gururaj, Francesco Flammini, Rajesh Natarajan   +5 more
doaj   +2 more sources

Multimodal deep learning with hyperspectral imaging for accurate origin classification of wolfberries [PDF]

Food Chemistry: X
Accurate classification of wolfberry geographical origin is essential for assessing its nutritional and medicinal properties. A multimodal convolutional neural network (MTCNN) with a cross-attention mechanism was proposed to effectively fuse spectral and
Bo Li, Rui Xia, Juanli Li, Jing Zhang, Zhixing Zhang, Jun Chen, Yu Chen   +6 more
doaj   +2 more sources

Classification of pain expression images in elderly with hip fractures based on improved ResNet50 network [PDF]

Frontiers in Medicine
The aim of this study is designed an improved ResNet 50 network to achieve automatic classification model for pain expressions by elderly patients with hip fractures.
Yang Shuang, Gong Liangbo, Zhao Huiwen, Liu Jing, Chen Xiaoying, Shen Siyi, Zhu Xiaoya, Luo Wen   +7 more
doaj   +2 more sources

Simultaneous determination of pigments of spinach (Spinacia oleracea L.) leaf for quality inspection using hyperspectral imaging and multi-task deep learning regression approaches [PDF]

Food Chemistry: X
Rapid and accurate determination of pigment content is important for quality inspection of spinach leaves during storage. This study aimed to use hyperspectral imaging at two spectral ranges (visible/near-infrared, VNIR: 400–1000 nm; NIR: 900–1700 nm) to
Mengyu He, Chen Jin, Cheng Li, Zeyi Cai, Dongdong Peng, Xiang Huang, Jun Wang, Yuanning Zhai, Hengnian Qi, Chu Zhang   +9 more
doaj   +2 more sources

Computationally intelligent real-time security surveillance system in the education sector using deep learning. [PDF]

PLoS ONE
Real-time security surveillance and identity matching using face detection and recognition are central research areas within computer vision. The classical facial detection techniques include Haar-like, MTCNN, AdaBoost, and others.
Muhammad Mobeen Abid, Toqeer Mahmood, Rahan Ashraf, C M Nadeem Faisal, Haseeb Ahmad, Awais Amir Niaz   +5 more
doaj   +2 more sources

Multi-face recognition and dynamic tracking based on reinforcement learning algorithm [PDF]

MATEC Web of Conferences, 2021
Aiming at the problem that the current low accuracy rate of face detection and target tracking, a reinforcement learning algorithm is proposed, which integrates face detection technology and target tracking technology organically, adopts the face ...
Li Yuxin, Xie Yinggang, Lu Xi
doaj   +1 more source

Deep-Facial Feature-Based Person Re-identification for Authentication in Surveillance Applications [PDF]

ITM Web of Conferences, 2021
Nowadays, a large network of cameras is predominantly used in public places which provide enormous video data. These data are monitored manually and may be utilized only when the need arises to ascertain the facts.
Borse Pranjal, Gaikwad Aishwarya, Dabhade Nachiket, Saxena Harsha   +3 more
doaj   +1 more source

Improved MTCNN face detection algorithm fused with context features

Xi'an Gongcheng Daxue xuebao, 2021
The multi-task convolutional neural network (MTCNN) face detection algorithm has a low detection rate of small faces in classroom scenes. An improved MTCNN algorithm that integrates context features was thus proposed.
Meihua GU, Jing FENG, Na YANG
doaj   +1 more source