Continuous detection of human fall using multimodal features from Kinect sensors in scalable environment.
Journal:
Computer methods and programs in biomedicine
Published Date:
May 25, 2017
Abstract
BACKGROUND AND OBJECTIVES: Automatic detection of human fall is a key problem in video surveillance and home monitoring. Existing methods using unimodal data (RGB / depth / skeleton) may suffer from the drawbacks of inadequate lighting condition or unreliability. Besides, most of proposed methods are constrained to a small space with off-line video stream.