Efficient deep CNN-based fire detection and localization in video surveillance applications
K Muhammad, J Ahmad, Z Lv… - … on Systems, Man …, 2018 - ieeexplore.ieee.org
Convolutional neural networks (CNNs) have yielded state-of-the-art performance in image
classification and other computer vision tasks. Their application in fire detection systems will …
classification and other computer vision tasks. Their application in fire detection systems will …
Efficient fire detection for uncertain surveillance environment
Tactile Internet can combine multiple technologies by enabling intelligence via mobile edge
computing and data transmission over a 5G network. Recently, several convolutional neural …
computing and data transmission over a 5G network. Recently, several convolutional neural …
Activity recognition using temporal optical flow convolutional features and multilayer LSTM
Nowadays digital surveillance systems are universally installed for continuously collecting
enormous amounts of data, thereby requiring human monitoring for the identification of …
enormous amounts of data, thereby requiring human monitoring for the identification of …
Cloud-assisted multiview video summarization using CNN and bidirectional LSTM
The massive amount of video data produced by surveillance networks in industries instigate
various challenges in exploring these videos for many applications, such as video …
various challenges in exploring these videos for many applications, such as video …
Deep learning methods and applications
This chapter introduces the various methods existing beneath the umbrella of deep learning
paradigm, their intricate details, and their applications in various fields. Deep learning has …
paradigm, their intricate details, and their applications in various fields. Deep learning has …
Cerebral micro‐bleeding identification based on a nine‐layer convolutional neural network with stochastic pooling
Cerebral micro‐bleedings are small chronic brain hemorrhages caused by structural
abnormalities of the small vessels. CMBs can be found from individuals with stroke at …
abnormalities of the small vessels. CMBs can be found from individuals with stroke at …
A novel two-dimensional ECG feature extraction and classification algorithm based on convolution neural network for human authentication
A biometrics-based authentication system is usually a better security solution than traditional
systems which are heavily reliant on passwords, personal identification numbers or smart …
systems which are heavily reliant on passwords, personal identification numbers or smart …
DeepReS: A deep learning-based video summarization strategy for resource-constrained industrial surveillance scenarios
The exponential growth in the production of video contents in different industries causes an
urgent need for effective video summarization (VS) techniques, in order to get an optimal …
urgent need for effective video summarization (VS) techniques, in order to get an optimal …
Fire detection for video surveillance applications using ICA K-medoids-based color model and efficient spatio-temporal visual features
M Hashemzadeh, A Zademehdi - Expert Systems with Applications, 2019 - Elsevier
Automated detection of fire flames in videos shot from a surveillance camera is an active
research topic, as fire detection must be accurate and fast. The present study proposes and …
research topic, as fire detection must be accurate and fast. The present study proposes and …
[HTML][HTML] Conflux LSTMs network: A novel approach for multi-view action recognition
Multi-view action recognition (MVAR) is an optimal technique to acquire numerous clues
from different views data for effective action recognition, however, it is not well explored yet …
from different views data for effective action recognition, however, it is not well explored yet …