Depth sensors open up possibilities of dealing with the human action recognition problem by providing 3D human skeleton data and depth images of the scene. Analysis of hu- man actions based on 3D skeleton data has become popular recently, due to its robustness and view-invariant represen- tation. However, the skeleton alone is insufficient to distin- guish actions which involve human-object interactions. In this paper, we propose a deep model which efficiently mod- els human-object interactions and intra-class variations un- der viewpoint changes. First, a human body-part model is introduced to transfer the depth appearances of body-parts to a shared view-invariant space. Second, an end-to-end learning framework is proposed which is able to...
We propose a human pose representation model that transfers human poses acquired from different unkn...
International audienceThe computer vision community is currently focusing on solving action recognit...
Human action recognition is one of the crucial and important tasks in data science. It aims to unde...
Introduction of depth sensors made a big impact on research in visual recognition. By providing 3D i...
Understanding human behavior from videos is a very important task in computer vision community. It i...
This paper addresses the problem of recognizing human actions captured with depth cameras. Human act...
Recognizing human actions in untrimmed videos is an important challenging task. An effective 3D moti...
We propose Human Pose Models that represent RGB and depth images of human poses independent of cloth...
This paper has been published at the Proceedings of 16th International Conference on Image Analysis ...
Recognizing human actions in untrimmed videos is an important challenging task. An effective 3D moti...
Skeleton-based human action recognition has attracted significant interest due to its simplicity and...
In recent years, there has been a proliferation of works on human action classification from depth s...
The object of this research work is to address some of the issues affecting vision based human acti...
Human action recognition is a very challenging problem due to numerous variations in each body part....
The computer vision community is currently focusing on solving action recognition problems in real v...
We propose a human pose representation model that transfers human poses acquired from different unkn...
International audienceThe computer vision community is currently focusing on solving action recognit...
Human action recognition is one of the crucial and important tasks in data science. It aims to unde...
Introduction of depth sensors made a big impact on research in visual recognition. By providing 3D i...
Understanding human behavior from videos is a very important task in computer vision community. It i...
This paper addresses the problem of recognizing human actions captured with depth cameras. Human act...
Recognizing human actions in untrimmed videos is an important challenging task. An effective 3D moti...
We propose Human Pose Models that represent RGB and depth images of human poses independent of cloth...
This paper has been published at the Proceedings of 16th International Conference on Image Analysis ...
Recognizing human actions in untrimmed videos is an important challenging task. An effective 3D moti...
Skeleton-based human action recognition has attracted significant interest due to its simplicity and...
In recent years, there has been a proliferation of works on human action classification from depth s...
The object of this research work is to address some of the issues affecting vision based human acti...
Human action recognition is a very challenging problem due to numerous variations in each body part....
The computer vision community is currently focusing on solving action recognition problems in real v...
We propose a human pose representation model that transfers human poses acquired from different unkn...
International audienceThe computer vision community is currently focusing on solving action recognit...
Human action recognition is one of the crucial and important tasks in data science. It aims to unde...