Encouraging LSTMs to Anticipate Actions Very Early
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Sadegh Ali Akbarian, Mohammad; Saleh, Fatemehsadat; Salzmann, Mathieu; Fernando, Basura; Petersson, Lars; Andersson, Lars
Description
In contrast to the widely studied problem of recognizing an action given a complete sequence, action anticipation aims to identify the action from only partially available videos. As such, it is therefore key to the success of computer vision applications requiring to react as early as possible, such as autonomous navigation. In this paper, we propose a new action anticipation method that achieves high prediction accuracy even in the presence of a very small percentage of a video sequence. To...[Show more]
Collections | ANU Research Publications |
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Date published: | 2017 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/313128 |
Source: | Proceedings of the IEEE International Conference on Computer Vision |
DOI: | 10.1109/ICCV.2017.39 |
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Encouraging_LSTMs_to_Anticipate_Actions_Very_Early.pdf | 792.86 kB | Adobe PDF | Request a copy |
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