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Devising a method for the active coordination of video cameras in optical navigation based on the multi-agent approach
- Source :
- Eastern-European Journal of Enterprise Technologies. 1:17-25
- Publication Year :
- 2017
- Publisher :
- Private Company Technology Center, 2017.
-
Abstract
- Here we present results of research into multi-agent approach to solving the problem of constructing a wireless Ad Hoc network to transmit video stream during optical navigation. When obtaining data from video cameras in real time, there is a problem of realization of effective coordination of video data. To improve the algorithms of capturing an object, it is necessary to improve the architecture of devices that utilize network metadata for the analysis of scenes from video surveillance. As a result of exploring the ways of solving the specified problems, we proposed a method for active coordination of video cameras based on the multi-agent approach (MAC-on-MAA). The application of this method increases efficiency of network cameras through their reconfiguration. We examined the problem of determining an adequate level of illuminance normalization of a video frame based on analysis of the modules throughput of multi-agent system for encoding transmitted video data. It was revealed that the time of analysis of video stream from a network decreases when ignoring the decoding of certain domains of graphic elements in the received video frames. The devised MAC-on-MAA method allows effective updating of routing tables in the reactive protocol AODV. We obtained analytic expressions for the assessment of quantitative characteristics of energy consumption by mobile agents. Protection of communication channels of video surveillance network is improved through the integration of steganocontainers in the free bits of RGB characteristics of video frames pixels.
- Subjects :
- Video post-processing
Wireless ad hoc network
Computer science
Routing table
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Energy Engineering and Power Technology
Throughput
02 engineering and technology
Industrial and Manufacturing Engineering
Management of Technology and Innovation
Encoding (memory)
0202 electrical engineering, electronic engineering, information engineering
Computer vision
Electrical and Electronic Engineering
business.industry
Applied Mathematics
Mechanical Engineering
020206 networking & telecommunications
Computer Science Applications
Uncompressed video
Control and Systems Engineering
Video tracking
RGB color model
020201 artificial intelligence & image processing
Artificial intelligence
business
Subjects
Details
- ISSN :
- 17294061 and 17293774
- Volume :
- 1
- Database :
- OpenAIRE
- Journal :
- Eastern-European Journal of Enterprise Technologies
- Accession number :
- edsair.doi...........bd6191dc3522b2a92e208159c5877ad3
- Full Text :
- https://doi.org/10.15587/1729-4061.2017.90863