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datasets:ipo [2016/02/23 14:49]
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datasets:ipo [2018/09/03 19:35]
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-==== Innsbruck Pointing at Objects (IPO) Dataset ==== 
  
-Deictic gestures – pointing at things in human-human collaborative tasks – constitute a pervasive, non-verbal 
-way of communication,​ used e.g. to direct attention towards objects of interest. In a human-robot interactive scenario, in order to delegate tasks from a human to a robot, one of the key requirements is to recognize and estimate the pose of the pointing gesture. ​ 
- 
-**Dataset Features** 
- 
-  * Two types of pointing gestures: (1) Natural pointing with index finger, and (2) Tool pointing with white board marker. 
-  * 9 participants pointing at 10 objects performing both the types of pointing gestures. 
-  * Pointing gestures recorded with RGB-D with Kinect sensor. 
-  * 180 RGB-D test images available with the ground truth to evaluate 3D pointing direction. ​ 
-  * Publicly available to [[https://​iis.uibk.ac.at/​public/​datasets/​ibkpointingdataset/​ibkpointingdataset.zip|Download]] (~100MB). 
- 
-**Sample Images** 
- 
-{{:​research:​projects:​3rdhand:​natural_pointing.png?​nolink&​300|}} 
- ​{{:​research:​projects:​3rdhand:​tool_pointing.png?​nolink&​300|}} 
- 
-Marked points (red - hand, green - objects) are the 2D locations used as the ground truth. 
- 
-**Reference** 
- 
-Dadhichi Shukla, Ozgur Erkent, Justus Piater, Probabilistic detection of pointing directions for human robot interaction. International Conference on Digital Image Computing: Techniques and Applications,​ 2015.[[https://​iis.uibk.ac.at/​public/​papers/​Shukla-2015-DICTA.pdf|PDF]]. 
- 
-**BibTex** 
- 
-  @InProceedings{Shukla-2015-DICTA,​ 
-    title = {{Probabilistic detection of pointing directions for human robot interaction}},​ 
-    author = {Shukla, Dadhichi and Erkent, Ozgur and Piater, Justus}, 
-    booktitle = {{International Conference on Digital Image Computing: Techniques and Applications}},​ 
-    year = 2015, 
-    month = 11, 
-    url = {https://​iis.uibk.ac.at/​public/​papers/​Shukla-2015-DICTA.pdf} 
-  } 
- 
-**Acknowledgement** 
- 
-This research has received funding from the European Community’s Seventh Framework Programme FP7/​2007-2013 (Specific Programme Cooperation,​ Theme 3, Information and Communication Technologies) under grant agreement no. 610878, [[http://​3rdhandrobot.eu/​|3rd HAND]]. 
- 
- 
-**Contact** 
- 
-dadhichi**[dot]**shukla**[at]**uibk**[dot]**ac**[dot]**at 
datasets/ipo.txt · Last modified: 2018/09/03 19:35 (external edit)