[PDF] Top 20 Human Face Recognition in Video using Convolutional Neural Network (CNN)
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Human Face Recognition in Video using Convolutional Neural Network (CNN)
... scale video sequence ...the face from video-based face ...from video. The first step is to crop face patches from video frame by frame and then to extract the face ... See full document
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A CONVOLUTIONAL NEURAL NETWORK (CNN) APPROACH TO DETECT FACE USING TENSORFLOW AND KERAS
... Face recognition [2 3 9] is has a high practical value for the detection and recognition of specific sensitive ...of recognition and it has poor performance, so the deep learning method is ... See full document
7
Identification Of Weeds From Crops Using Convolutional Neural Network
... of network Architecture YannLeCun uses a new architecture which is good at object recognition in image dataset called the Convolutional Neural Network ...The convolutional ... See full document
6
Artificial Intelligence and Convolutional Neural Network for Recognition of Human Interaction by Video from Drone
... Abstract: Recognition of the human interaction on the unconstrained videos taken from cameras and remote sensing platforms like a drone is a challenging ...of recognition of human interaction ... See full document
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Three-dimensional convolutional restricted Boltzmann machine for human behavior recognition from RGB-D video
... recognizing human behavior from RGB-D video ...three-dimensional convolutional restricted Boltzmann machine (3DCRBM) is proposed which can extract features from the raw RGB-D ...3D ... See full document
11
A NOVEL TWO DIMENSIONAL SPECTRAL/SPATIAL HYBRID CODE FOR OPTICAL CODE DIVISION MULTIPLE ACCESS SYSTEM
... in human biometric ...ear recognition method, which measures the similarity between the input ear image and the ear images of known individuals in a ...optimized using Particle Swarm Optimizer (PSO), ... See full document
10
An Approach for Face Recognition System Using Convolutional Neural Network and Extracted Geometric Features
... and recognition it is not develop an automatic system to recognize the identification of faces and faces ...in face expression recognition such as (i) face detection and segmentation from a ... See full document
5
Robust Face Recognition Based on Convolutional Neural Network
... Face recognition via deep learning has achieved a series of breakthrough in recent ...Lightened Convolutional Neural Network model, and the center loss layer jointly to enhance the ... See full document
6
Developing A Face Recognition System Using Convolutional Neural Network
... of face recognition by using Convolutional Neural Network (CNN) are already ...a face recognition system as the image preprocessing steps were implemented in ... See full document
24
Recognition of Handwritten Characters based on Deep Learning with Tensorflow
... Artificial Neural Network (ANN) and Deep Learning has brought a massive twist in the field of Machine Leaning, in recent ...(CV). Convolutional Neural Network (CNN) is at the ... See full document
6
Face Recognition using Machine Learning
... surveillance, human machine interaction, and security systems, face recognition is of great ...image recognition compared to traditional machine learning ...Convolution Neural ... See full document
5
1. Efficient face recognition using convolutional neural networks
... for face recognition with Convolutional auto-encoder (CAE) with neural ...The face recognition is the crucial step for many applications like surveillance, access control or ... See full document
7
Automatic Facial Expression Recognition using Convolutional Neural Network (CNN)
... the face is more or less centered and occupies about the same amount of space in each ...327 video sequences acted out by 118 ...of human faces with obvious facial expressions to recognize facial ... See full document
8
An analytical study of information extraction from unstructured and multidimensional big data
... artificial neural network; ASR: automatic speech recognition; AVS: automatic video summarization; BFM: Bayesian fusion model; CNN: convolutional neural network; ... See full document
38
Firearm Recognition Using Convolutional Neural Network
... weapons using Image Classification ...CCTV video analysis detects pedestrians, animals and ...a human is considered to be a great ...of human in an image prior to a weapon detection has been ... See full document
6
Blind Navigation System using Artificial Intelligence
... artificial neural networks (SIANN), due to their shared-weight architecture and translation invariance ...deep convolutional neural network can achieve reasonable performance on hard visual ... See full document
5
Improved Study of Side-Channel Attacks Using Recurrent Neural Networks
... is using cryptographic algorithms implementation. Using deep learning techniques, we are interested in evaluating the performance of our neural network models in predicting the power traces ... See full document
78
Disease Detection in the Leaves of Multiple Plants
... Disease detection in plants is a key method for the reduction of agricultural losses. An early stage detection of diseases is very useful in preventing the growth of the pests and also the spread of diseases. This also ... See full document
5
Recent Trends and Insight Towards Automated Identification of Plant Species
... based recognition is more common and reliable as it is claimed to be easily accessible and abundant compared to other plant morphological structures such as flowers, barks or ...from using the leaf, the ... See full document
7
Video Summarization using Convolutional Neural Network
... large video databases. We introduce smart surveillance by using video summarization for various ...via Convolutional Neural Networks (CNN). Using this analysis, features ... See full document
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