A Congestion Detection System Using Optical Flow and Standard Deviation in Mass Gathering
| Autor: | Vidya Patil, Mamta Bhamare, Bhagyashree Sorte |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
Optical flow 020206 networking & telecommunications 02 engineering and technology Computer security computer.software_genre Standard deviation Lucas–Kanade method Congestion detection Mass gathering 0202 electrical engineering electronic engineering information engineering Public security 020201 artificial intelligence & image processing computer |
| Zdroj: | Proceedings of the International Conference on Advances in Information Communication Technology & Computing - AICTC '16. |
| DOI: | 10.1145/2979779.2979812 |
| Popis: | Now a day, the mass events like political rallies, musical concerts, sports matches, school gathering and pilgrimage become an issue of the public security. In the past the research is based on the detection of the human behaviour and for finding the hazardous location. Crowd is a collection or gathering of many people in the same area at the same time. In such situation the density of people is high and this may causes the disaster. The proposed system will help to overcome such situation. The system detects the congestion with the help of optical flow and the standard deviation and gives warning when the congestion is detected. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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