… -based video analysis and retrieval, visual surveillance, Human–… classification and the
predicted class labels can be analyzed and … with CNN-Recurrent Neural Network (RNN) network. …

… the class labels based upon the learned model. … learning like classification and regression
analysis using support vector machine (SVM), hidden markov model (HMM), neural network …

… the important approaches for video sequential data learning using deep learning since video
data analytics required both spatial and temporal features for its analysis. The mainstream …

… Today, facial recognition and intelligent analysis—… video-surveillance network in the world.
By that year, China's … of legally operating the internet and using the network with integrity") will …

… through video analysis using deep learning techniques. … In particular, deep learning neural
networks architectures … considering that the video (using a static surveillance camera) will …

… Neural Network (CNN) in antifire surveillance systems. YOLOv2 … defines the probability of
the class presence in the box. Only one … of video analytics. In: International conference image …

… into already functioning video analytics systems are proposed. … these models in real-world
video-surveillance contexts. … one-class SVM is trained over the extracted features to learn the …

… -time control and analysis in big data surveilling environments, we aim to … analysis and
target detection. We deploy a lightweight learning model using an improved deep neural network …

… server for analysis or processed locally at the edge devices to obtain useful insights using AI
… Section 6 summarizes the key insights and lessons learned from the literature. In Section 7, …

… analysis is derived from the paper’s co-citation analysis. In the author’s co-citation network,
… Virtual care platforms using video conferencing and digital surveillance have been used …