A vision-based approach for fall detection using multiple cameras and convolutional neural networks: A case study using the UP-Fall detection dataset.
Ricardo Abel Espinosa-LoeraHiram PonceSebastián GutiérrezLourdes Martínez-VillaseñorJorge BrievaErnesto Moya-AlborPublished in: Comput. Biol. Medicine (2019)
Keyphrases
- fall detection
- multiple cameras
- multi camera
- convolutional neural networks
- single camera
- multi view
- video surveillance
- camera calibration
- field of view
- pose estimation
- object tracking
- computer vision
- dynamic scenes
- multiple views
- real time
- vision system
- indoor environments
- fuzzy inference
- image processing
- surveillance system
- detection algorithm
- multiple objects
- particle filter
- motion detection
- high quality
- features extraction