Developing a robust framework to reduce the size of a recorded video surveillance systems
Most of the video surveillance strategies take a significant amount of space for storage as surveillance camera's unexceptionally recorded everything during camera – on time. Whereby, it leads to consuming the storage capacity of the device of the system. In fact, many algorithms have been p...
| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
SERSC: Science & Engineering Research Support Society
2018
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/61937/ http://irep.iium.edu.my/61937/ http://irep.iium.edu.my/61937/ http://irep.iium.edu.my/61937/1/Developing%20a%20Robust%20Framework%20to%20Reduce%20the%20Size%20of%20a%20Recorded%20video.pdf http://irep.iium.edu.my/61937/7/61937%20Developing%20a%20Robust%20Framework%20to%20Reduce%20the%20Size%20of%20a%20Recorded%20Video%20Surveillance%20Systems_wos.pdf |
| Summary: | Most of the video surveillance strategies take a significant amount of space for storage
as surveillance camera's unexceptionally recorded everything during camera – on time.
Whereby, it leads to consuming the storage capacity of the device of the system. In fact,
many algorithms have been proposed solving in the dilemma to object recognition and
compress the video to reduce the size whenever it save's data. Nevertheless, the
technology deprived efficient methods to reducing the storage of space for consummation.
The Idea of this paper is to propose a framework on how to possibly can be reduce the
size of a recorded video of the surveillance system via recording only the part of the video
that contains the motion, and ignore the other parts based on the motion detection. The
result shows that the framework give an outstanding results on the uncompressed
surveillance video recorded from a single fixed camera. The proposed framework enables
to save 30% more of playback time and can provide more than 50% of storage of space
saving. |
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