Human Fall Detection
| dc.contributor.author | Reamsha Khan | |
| dc.date.accessioned | 2025-09-26T10:43:04Z | |
| dc.date.available | 2025-09-26T10:43:04Z | |
| dc.date.issued | 2018 | |
| dc.description.abstract | Fall-induced damages are conjoint in the old populace. Postponement or short-age of medical precaution after the incident of a collapse often causes damages, in some cases it became so intense that it may result in death of the victim. Hence falls are serious incidences for the aged person. For this problem automatic detection of fall on the spot can play a vital role in timely medication care which ultimately helps to de-crease the medical complexity. Keeping in view the above stated crucial problem, in this paper we will de ne an e cient and e ective system which can detect the fall centered on dataset of videos produced by means of numerous cameras.This research proposed an approach which perform better in terms of accuracy as related to the additional present approaches.It utilize numerous descriptors of image or various features which are sus-tained to various training classi ers to recognize human falls. | |
| dc.identifier.uri | https://escholar.umt.edu.pk/handle/123456789/7099 | |
| dc.language.iso | en | |
| dc.publisher | UMT, Lahore | |
| dc.title | Human Fall Detection | |
| dc.type | Thesis |