Face recognition in real-world surveillance videos with deep learning method

2017 ◽  
Author(s):  
Ya Wang ◽  
Tianlong Bao ◽  
Chunhui Ding ◽  
Ming Zhu
Keyword(s):  
Deep Learning ◽  
Face Recognition ◽  
Real World ◽  
Learning Method ◽  
Surveillance Videos

scholarly journals Deep Learning- Based Surveillance System using Face Recognition

2020 ◽  
Vol 32 ◽  
pp. 03011
Author(s):  
Divya Kapil ◽  
Aishwarya Kamtam ◽  
Akhil Kedare ◽  
Smita Bharne
Keyword(s):  
Neural Network ◽  
Image Processing ◽  
Deep Learning ◽  
Face Recognition ◽  
Convolutional Neural Network ◽  
Surveillance System ◽  
Surveillance Systems ◽  
Learning Method ◽  
Security Systems ◽  
The Face

Surveillance systems are used for the monitoring the activities directly or indirectly. Most of the surveillance system uses the face recognition techniques to monitor the activities. This system builds the automated contemporary biometric surveillance system based on deep learning. The application of the system can be used in various ways. The face prints of the persons will be stored inside the database with relevant statistics and does the face recognition. When any unknown face is recognized then alarm will ring so one can alert the security systems and in addition actions will be taken. The system learns changes while detecting faces automatically using deep learning and gain correct accuracy in face recognition. A deep learning method including Convolutional Neural Network (CNN) is having great significance in the area of image processing. This system can be applicable to monitor the activities for the housing society premises.

Face Counting and Mask Detection using Deep Learning

2020 ◽  
Vol 11 (12) ◽  
pp. 709-714
Author(s):  
Janani Prabu ◽  
Sai Saranesh ◽  
Dr.S. Ajitha
Keyword(s):  
Deep Learning ◽  
Face Recognition ◽  
Strong Solution ◽  
Real World ◽  
Human Communication ◽  
Human Ability ◽  
Real World Applications ◽  
The Face

Face is one among the foremost important human's biometrics which is used frequently in every day human communication and due to some of its unique characteristics plays a major role in conveying identity and emotion. So far numerous methods have been proposed for face recognition, but it's still remained very challenging in real world applications and up to date; there is no technique which equals human ability to recognize faces despite many variations in appearance that the face can have in a scene and provides a strong solution to all situations.

Detecting non-hardhat-use by a deep learning method from far-field surveillance videos

2018 ◽  
Vol 85 ◽  
pp. 1-9 ◽  
Author(s):  
Qi Fang ◽  
Heng Li ◽  
Xiaochun Luo ◽  
Lieyun Ding ◽  
Hanbin Luo ◽  
...  
Keyword(s):  
Deep Learning ◽  
Far Field ◽  
Learning Method ◽  
Surveillance Videos

scholarly journals Noise-resistant network: a deep-learning method for face recognition under noise

2017 ◽  
Vol 2017 (1) ◽  
Author(s):  
Yuanyuan Ding ◽  
Yongbo Cheng ◽  
Xiaoliu Cheng ◽  
Baoqing Li ◽  
Xing You ◽  
...  
Keyword(s):  
Deep Learning ◽  
Face Recognition ◽  
Learning Method
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