Journal article 1492 views 432 downloads
From pose to activity: Surveying datasets and introducing CONVERSE
Mike Edwards 
,
Michael Edwards,
Jingjing Deng,
Xianghua Xie
,
Michael Edwards,
Jingjing Deng,
Xianghua Xie
Computer Vision and Image Understanding, Volume: 144, Pages: 73 - 105
Swansea University Authors:
Mike Edwards , Jingjing Deng, Xianghua Xie
-
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DOI (Published version): 10.1016/j.cviu.2015.10.010
Abstract
We present a review on the current state of publicly available datasets within the human action recognition community; highlighting the revival of pose based methods and recent progress of understanding person-person interaction modeling. We also propose a novel dataset that represents complex conve...
| Published in: | Computer Vision and Image Understanding |
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| ISSN: | 10773142 |
| Published: |
2016
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| Online Access: |
Check full text
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa26730 |
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| Abstract: |
We present a review on the current state of publicly available datasets within the human action recognition community; highlighting the revival of pose based methods and recent progress of understanding person-person interaction modeling. We also propose a novel dataset that represents complex conversational interactions between two individuals via 3D pose. 8 pairwise interactions describing 7 separate conversation based scenarios were collected using two Kinect depth sensors. The intention is to provide events that are constructed from numerous primitive actions, interactions and motions, over a period of time; providing a set of subtle action classes that are more representative of the real world, and a chal- lenge to currently developed recognition methodologies. We believe this is among one of the first datasets devoted to conversational interaction classification using 3D pose features and the attributed papers show this task is indeed possible. |
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| Keywords: |
Human Pose, Interaction, Action, Conversational Interaction, Data Set |
| College: |
Faculty of Science and Engineering |
| Start Page: |
73 |
| End Page: |
105 |