… Video surveillance and video analytics have been substan… factors, in terms of network,
computational resources, and … to implement our domainspecific video analytics algorithms to …

… with secure network environment; afterward, the surveillance at … Nowadays, motion analysis
and optical flow by using … as a pattern matched with a class of patterns; in signal processing, …

… surveillance video analysis papers under deep learning field. … One class SVM is used for
learning samples. For testing also … [84] includes deep network model where learning of features …

… monitoring the mobility within a network, we have designed a sensor that is able to detect and
track objects of interest in a live video feed using video analytics. … and class probabilities at …

… 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. …

… The implementation of advanced use of video surveillance … learning methods for visual
surveillance and object analysis on the video surveillance system RQ7 What kind of network …

… 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 …

… this network bottleneck and offload large volumes of data from … the typical size of the object
class we were detecting (eg, to … from our goal of processing wide-angle surveillance video. …

… 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 …