Storage Optimization using Adaptive Thresholding Motion Detection
| Autor: | Asif Rajput, Sajid A. Khan, M. Atif, Faheem Akhtar, Zahid Hussain Khand |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
adaptive threshold
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION video mining 02 engineering and technology 010402 general chemistry 01 natural sciences Luminance Histogram lcsh:Technology (General) 0202 electrical engineering electronic engineering information engineering motion detection Computer vision Video mining lcsh:T58.5-58.64 business.industry lcsh:Information technology Motion detection storage optimization Thresholding 0104 chemical sciences Task (computing) Variable (computer science) lcsh:TA1-2040 Computer data storage lcsh:T1-995 020201 artificial intelligence & image processing Artificial intelligence business lcsh:Engineering (General). Civil engineering (General) |
| Zdroj: | Engineering, Technology & Applied Science Research, Vol 11, Iss 2 (2021) |
| ISSN: | 1792-8036 2241-4487 |
| Popis: | Data storage is always an issue, especially for video data from CCTV cameras that require huge amounts of storage. Moreover, monitoring past events is a laborious task. This paper proposes a motion detection method that requires fewer calculations and reduces the required data storage up to 70%, as it stores only the informative frames, enabling the security personnel to retrieve the required information more quickly. The proposed method utilized a histogram-based adaptive threshold for motion detection, and therefore it can work in variable luminance conditions. The proposed method can be applied to streamed frames of any CCTV camera to efficiently store and retrieve informative frames. |
| Databáze: | OpenAIRE |
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