A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory
Computer vision and pattern recognition approaches have been applied to determine unsafe behaviors on construction sites. Such approaches have been reliant on the computation of artificially complex image features that utilize a cumbersome parameter re-adjustment process. The creation of image featu...
| Main Authors: | Ding, L., Fang, W., Luo, H., Love, Peter, Zhong, B., Ouyang, X. |
|---|---|
| Format: | Journal Article |
| Published: |
Elsevier BV
2018
|
| Online Access: | http://hdl.handle.net/20.500.11937/59296 |
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