A Novel Method for Temporal Action Localization and Recognition in Untrimmed Video Based on Time Series Segmentation
Positioning of each action in a long complicated video is a challenging task in computer vision. To address this issue we propose a method with temporal boundary regression based on time series segmentation, which can generate proposals with flexible temporal duration. Firstly, we use a clustering a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8830395/ |