The transferable distance function is learnt from previously training sets, and can be applied to videos of new actions without further learning. The work ...
In this paper, we address the problem of efficient human action detection with only one template. We choose the standard sliding-window approach to scan the ...
Abstract. In this paper, we address the problem of efficient human ac- tion detection with only one template. We choose the standard sliding-.
In this paper, we address the problem of efficient human action detection with only one template. We choose the standard sliding-window approach to scan the ...
Abstract: In this paper, we address the problem of efficient human action detection with only one template. We choose the standard sliding-window approach ...
Transfer Learning: The ability of a system to recognize and apply knowledge and skills learned in previous tasks to novel tasks .[Pan & Yang, TKDE 2009].
This chapter considers the problem of human action recognition from a single clip per action, and shows that the transferable distance function learning not ...
Nov 21, 2024 · Our experimental results show that the transferable distance function learning not only improves the recognition accuracy of the single clip ...
Our experimental results show that the transferable distance function learning not only improves the recognition accuracy of the single clip action recognition ...
Missing: Detection | Show results with:Detection
In this thesis, we address an important topic in computer vision, human action recognition and detection. In particular, we focus on a special scenario ...