Fall Detection in Videos With Trajectory-Weighted Deep-Convolutional Rank-Pooling Descriptor

Fall Detection in Videos With Trajectory-Weighted Deep-Convolutional Rank-Pooling Descriptor

Automatic fall detection in videos could enable timely delivery of medical service to the injured elders who have fallen and live alone. Deep ConvNets have been used to detect fall actions. However, there still remain problems in deep video representations for fall detection. First, video frames are...

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Bibliographic Details
Main Authors: Zhimeng Zhang, Xin Ma, Hanbo Wu, Yibin Li
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Fall detection
descriptor
deep ConvNets
trajectory attention map
cluster pooling
rank pooling
Online Access:https://ieeexplore.ieee.org/document/8579141/

Internet

https://ieeexplore.ieee.org/document/8579141/

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