Abstract: We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper.
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper.
The experimental results on two recent datasets have shown that the proposed framework can not only accurately recognize human activities with temporal, ...
Abstract: We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper.
We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper.
Recognizing human activities from silhouettes: Motion subspace and factorial discriminative graphical model ; Editors, Patrick Flynn ; Place of Publication, USA.
In this paper, we propose a hierarchical discriminative approach for human action recognition. It consists of feature extraction with mutual motion pattern ...
Learning to Recognize Activities from the Wrong View Point - SpringerLink
link.springer.com › chapter
Wang, L., Suter, D.: Recognizing human activities from silhouettes: Motion subspace and factorial discriminative graphical model. In: IEEE Conf. on Computer ...
Feb 26, 2017 · In this paper, an intelligent system is proposed that recognizes human actions from videos and classifies them using the technique of silhouette ...
Pattern Recognition (2007). 38. Wang, L., Suter, D.: Recognizing human activities from silhouettes: Motion subspace and factorial discriminative graphical model ...
In response to a legal request submitted to Google, we have removed 1 result(s) from this page. If you wish, you may read more about the request at LumenDatabase.org. |