{"id":13500971,"url":"https://github.com/harishrithish7/Fall-Detection","last_synced_at":"2025-03-29T07:32:12.314Z","repository":{"id":131924069,"uuid":"65849410","full_name":"harishrithish7/Fall-Detection","owner":"harishrithish7","description":"Human Fall Detection from CCTV camera feed","archived":false,"fork":false,"pushed_at":"2016-08-19T01:53:28.000Z","size":1986,"stargazers_count":177,"open_issues_count":3,"forks_count":64,"subscribers_count":14,"default_branch":"master","last_synced_at":"2024-10-31T19:37:45.410Z","etag":null,"topics":["fall","matlab"],"latest_commit_sha":null,"homepage":"","language":"Matlab","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/harishrithish7.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"license.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2016-08-16T19:56:35.000Z","updated_at":"2024-10-12T09:17:54.000Z","dependencies_parsed_at":"2023-03-10T16:33:44.336Z","dependency_job_id":null,"html_url":"https://github.com/harishrithish7/Fall-Detection","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harishrithish7%2FFall-Detection","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harishrithish7%2FFall-Detection/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harishrithish7%2FFall-Detection/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/harishrithish7%2FFall-Detection/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/harishrithish7","download_url":"https://codeload.github.com/harishrithish7/Fall-Detection/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246155998,"owners_count":20732355,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["fall","matlab"],"created_at":"2024-07-31T22:01:21.023Z","updated_at":"2025-03-29T07:32:11.869Z","avatar_url":"https://github.com/harishrithish7.png","language":"Matlab","funding_links":[],"categories":["MATLAB"],"sub_categories":[],"readme":"# Fall-Detection\nDetect humans falling on the ground from a CCTV camera feed and limit the physical damage to the person by alerting the hospital authorities.\n\nIntroduction\n------------\nElderly people tend to slip and fall in homes and remain unattended for a long time. \nIf the affected person is not treated immediately, serious health issues including brain injuries occur. \nThe proposed solution automatically detects humans falling, through cameras installed in homes, and sends notification to family members and hospital authorities.\n\nRequirements\n------------\nMATLAB R2013a\n\nUsage \n-----\n\n####Installation\n\n1. Download zip \n2. Unzip \n3. Open falldetection.m in MATLAB \n\n####MATLAB command line\n```matlab\nfalldetection \u003cvideo_name\u003e;\n```\n####Example\n```matlab\nfalldetection video.mp4;\n```\n\nOutput\n------\n###Working\n[![Working](https://s4.postimg.org/49t4relod/giphy.gif)](https://postimg.org/image/qlqxksks9/)\n\n###Original video frame\n[![Original video frame](https://s3.postimg.org/esn2yx6eb/original.png)](https://postimg.org/image/5kuui7zbz/)\n\n###Human segemented image\n[![Human segemented image](https://s3.postimg.org/3m989kdgz/mask.png)](https://postimg.org/image/yt7vdh1db/)\n\n###Motion History Image (MHI)\n[![Motion History Image](https://s3.postimg.org/vqsn37f1v/mhi.png)](https://postimg.org/image/rhnx11bsf/)\n\n###Human shape\n[![Human shape](https://s4.postimg.org/576uymvyl/shape.png)](https://postimg.org/image/xk2cp3hop/)\n\n###Fall Detected Notification\n[![Fall Detected Notification](https://s3.postimg.org/6aagwho5f/fall.jpg)](https://postimg.org/image/tbr228nsv/)\n\nYouTube Demo Video Link\n------------------\nDemo of the project\n\n\u003ca href=\"http://www.youtube.com/watch?feature=player_embedded\u0026v=LdoLniUSOaA\n\" target=\"_blank\"\u003e\u003cimg src=\"http://img.youtube.com/vi/LdoLniUSOaA/0.jpg\" \nalt=\"Youtube Video: Human Fall Detection\" width=\"240\" height=\"180\" border=\"10\" /\u003e\u003c/a\u003e\n\nFlowchart\n---------\n[![Flowchart](https://s4.postimg.org/lfue0o4fh/Page_4_Image_27.png)](https://postimg.org/image/8og7u5und/)\n\nNote\n----\n* Live transmission from the camera to the software is not supported. Instead, the data from the camera is first stored and then processed.\n* The video feed should be saved in '..\\Fall-Detection\\Video' folder.\n* The notification is sent to the user through an app installed on the phone. The apk file is not included in this repository.\n\nReference Paper\n---------------\nC.Rougier,J.MeunierFall,A.Arnaud and J.Rousseau. Detection from Human Shape and Motion History using Video Surveillance. *Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops*,2007. \n\nLicense\n-------\n[![License](https://s3.postimg.org/5h9joly3n/license.png)](https://postimg.org/image/g43cu168v/)\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fharishrithish7%2FFall-Detection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fharishrithish7%2FFall-Detection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fharishrithish7%2FFall-Detection/lists"}