… Video surveillance systems with Real-time video analysis gives a … The first-class sensors,
project the light onto the stage and … using a network, the user can use the monitoring resources. …

… human motion video analysis algorithms is … implemented a scheme that reduces the
complexity of processing time. Due to the deep learning network’s need for the frames received from …

… features classifier predict the class as suspicious or normal. … intelligent video surveillance,
shopping behavior analysis. … A deep learning network is using in our proposed system for …

… This study describes the implementation of a video visit … aspects of remote monitoring into
video visit encounters (24). … Which patients benefit from monitoring? How can these data …

… to video analytics and caching of deep learning results at the … Finally, we conclude with a
summary of the lessons learned … We study edge-assisted surveillance applications from the …

… , networking, and computing, which in turn leads to the innovation of smart services across
different sectors including health, transportation, security, … to a specific class. The output layer …

… understanding and analysis [118, 148], video analysis [74, 129]… by machine learning algorithms
using neural networks. The … of events are learned is called multi-class formulation. In this …

… The need for data analysis using edge technology emerges in … to drive in cities are using
their smartphones to navigate an … of distance education, and synchronous classrooms. With the …

… abnormal event detection and autonomous video analytics. … with their network requirements,
make real-time surveillance … of the Storage_Media class in the implementation of the …

… anomalies from surveillance Big Video Data (BVD) using … competitive/actionable results
for video analysis, as demonstrated in … The class-wise accuracy of the Deep Learning models …