# Efficient local monitoring approach for the task of background subtraction

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/efficient-local-monitoring-approach-for-the-task-of-background-subtraction/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Brahim Farou,Mohamed Nadjib Kouahla,Hamid Séridi,Herman Akdag |
| Citations | 13 |
| DOI | 10.1016/j.engappai.2017.05.013 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2624687171 |
| Type | article |
| Year | 2017 |

## Paper authors

- [Brahim Farou](https://scholariq.org/researchers/brahim-farou/)

## Paper journal

- [Engineering Applications of Artificial Intelligence](https://scholariq.org/journals/engineering-applications-of-artificial-intelligence/)

## Paper primary topic

- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)

## Paper topics

- [Video Surveillance and Tracking Methods](https://scholariq.org/topics/video-surveillance-and-tracking-methods/)
- [Image Enhancement Techniques](https://scholariq.org/topics/image-enhancement-techniques/)
- [Advanced Vision and Imaging](https://scholariq.org/topics/advanced-vision-and-imaging/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.