facial emotion recognitiondeep neural networksautomatic recognitiondatabaseAutomatic emotion recognition based on facial expression is an interesting research field, which has presented and applied in several areas such as safety, health and in human machine interfaces. Researchers in this field are ...
Deep learning techniques have proven to be effective in solving the facial emotion recognition (FER) problem. However, it demands a significant amount of supervision data which is often unavailable due to privacy and ethical concerns. In this paper, we p
including government and diplomacy buildings; borders and customs areas; travel nodes such as air and sea ports, just to name a few. Also, law enforcement personnel will find a more efficient way to investigate incidents with advanced footage retrieval using recognition capabilities and vehicle traits...
In this paper, we have proposed a deep learning-based framework using transfer learning for facial expression. This approach uses the existing VGG16 model for a modified trained model and concatenates additional layers on it. VGG16 model is already trained on ImageNet, which has 1000 classes. ...
Security systems face growing challenges as users require higher accuracy and efficiency. This is why Hikvision pioneers in automated face detection and recognition.
In order to evaluate the performance of different recognition engines, rigorous testing methods and large datasets are needed. For example, the National Institute of Standards and Technology (NIST) conducts Facial Recognition Technology Evaluations (FRTE) using standardized metrics, execution environments,...
Deep learning techniques can use public data such as facial photographs to predict sensitive personal information, but little is known about what information contributes to the predictive success of these techniques. This lack of knowledge limits both th
A performance comparison between deep learning network and haar cascade on an IoT device International Conference on Sensing and Instrumentation in IoT Era (ISSI) (2019) Google Scholar [14] Indrasom Gangopadhyay, Anulekha Chatterjee, Indrajit Das face detection and recognition using Haar classifier ...
Facial recognition is an artificial intelligence-based technology that, like many other forms of artificial intelligence, suffers from an accuracy deficit.
c) Norde´n F, von Reis Marlevi F (2019) A comparative analysis of machine learning algorithms in binary facial expression recognition (Dissertation). [28]-[35] 基本都是基于卷积神经网络的方法。 5.论文中提到的解决方案之关键是什么?