ABNORMAL EVENT DETECTION
| dc.contributor.author | BHAGANNA HEBALI-1NH18CS040 CHALAPATHY V -1NH18CS047 N RAHUL REDDY -1NH18CS119 | |
| dc.date.accessioned | 2025-06-24T08:42:42Z | |
| dc.date.available | 2025-06-24T08:42:42Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | In the recent day’s surveillance cameras have increased drastically which can help in reducing crime but the surveillance cameras are not smart or intelligent to detect any abnormal event or violent event in the videos this makes the surveillance system always dependent on human evaluation for real time analysis it is not possible. hence an intelligent system that can trim out abnormal events such as violence, fighting, crowd- violence is of great importance. In the previous models the approach is to use audio to detect violence which is not possible always because some cameras don’t have microphone so, in this paper we are discuss all the present deep learning and machine learning algorithms for violence detection. and evaluate the various aspects of the algorithms with accuracy and precision. | |
| dc.identifier.uri | http://192.168.75.5:4000/handle/123456789/19405 | |
| dc.language.iso | en | |
| dc.publisher | New Horizon College of Engineering | |
| dc.title | ABNORMAL EVENT DETECTION | |
| dc.type | Learning Object |