Research and Design of Embedded Network Video Monitoring System Based on Linux

2008 ◽  
Author(s):  
Jing Li ◽  
Weidong Hao
Keyword(s):  
Monitoring System ◽  
Video Monitoring ◽  
Embedded Network ◽  
Research And Design

Research and Design of Transmission Rate Adaptive Control in Public Video Monitoring System

2011 ◽  
Vol 58-60 ◽  
pp. 1176-1181
Author(s):  
Lu Hai Mei
Keyword(s):  
Adaptive Control ◽  
Monitoring System ◽  
Transmission Rate ◽  
Video Monitoring ◽  
Rate Adaptive ◽  
Video Frequency ◽  
Research And Design ◽  
Conference System

In this paper, we first introduce the characteristic and the comparison of H.320 system and H.323 system in video frequency conference system, expound the unique merit of video frequency conference system based on H.320/H.323 double agreement design in application, then describe with emphasis a typical principle and method of H.320/H.323 double agreement adapter design in video frequency conference system.

scholarly journals Research on Embedded Network Real-Time Video Monitoring System Based on Zynq

2016 ◽  
Vol 9 (11) ◽  
pp. 299-308
Author(s):  
Yang Nie ◽  
Xiaofei Yin ◽  
Yu Hu ◽  
Hanbin Xu ◽  
Ruofei Yan
Keyword(s):  
Real Time ◽  
Monitoring System ◽  
Video Monitoring ◽  
Embedded Network

scholarly journals COVIMOS: A Coastal Video Monitoring System

2017 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
I Made Oka Widyantara ◽  
I Made Dwi Asana Putra ◽  
Ida Bagus Putu Adnyana
Keyword(s):  
Monitoring System ◽  
Nearest Neighbor ◽  
Low Cost ◽  
Video Image ◽  
Video Monitoring ◽  
Reference Object ◽  
Self Organizing Map ◽  
K Nearest Neighbor ◽  
Ip Camera ◽  
Class Labels

This paper intends to explain the development of Coastal Video Monitoring System (CoViMoS) with the main characteristics including low-cost and easy implementation. CoViMoS characteristics have been realized using the device IP camera for video image acquisition, and development of software applications with the main features including detection of shoreline and it changes are automatically. This capability was based on segmentation and classification techniques based on data mining. Detection of shoreline is done by segmenting a video image of the beach, to get a cluster of objects, namely land, sea and sky, using Self Organizing Map (SOM) algorithms. The mechanism of classification is done using K-Nearest Neighbor (K-NN) algorithms to provide the class labels to objects that have been generated on the segmentation process. Furthermore, the classification of land used as a reference object in the detection of costline. Implementation CoViMoS system for monitoring systems in Cucukan Beach, Gianyar regency, have shown that the developed system is able to detect the shoreline and its changes automatically.

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