Abstract
The classification of sequences requires the combination of information from different time points. In this paper the detection of facial expressions is considered. Experiments on the detection of certain facial muscle activations in videos show that it is not always required to model the sequences fully, but that the presence of specific frames (the concept frame) can be sufficient for a reliable detection of certain facial expression classes. For the detection of these concept frames a standard classifier is often sufficient, although a more advanced clustering approach performs better in some cases.
| Original language | English |
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| Title of host publication | 20th International Conference on Pattern Recognition, ICPR 2010 |
| Place of Publication | Piscataway, NJ |
| Publisher | IEEE |
| Pages | 2917-2920 |
| Number of pages | 4 |
| ISBN (Electronic) | 978-1-4244-7541-4 |
| ISBN (Print) | 978-1-4244-7542-1, 978-0-7695-4109-9 (CD) |
| DOIs | |
| Publication status | Published - 26 Aug 2010 |
| Event | 20th International Conference on Pattern Recognition 2010 - Istanbul Convention & Exhibition Centre, Istanbul, Turkey Duration: 23 Aug 2010 → 26 Aug 2010 Conference number: 20 https://www.ieee.org/conferences_events/conferences/conferencedetails/index.html?Conf_ID=16097 |
Publication series
| Name | International Conference on Pattern Recognition (ICPR) |
|---|---|
| Publisher | IEEE Computer Society |
| Number | 20 |
| Volume | 2010 |
| ISSN (Print) | 1051-4651 |
Conference
| Conference | 20th International Conference on Pattern Recognition 2010 |
|---|---|
| Abbreviated title | ICPR 2010 |
| Country/Territory | Turkey |
| City | Istanbul |
| Period | 23/08/10 → 26/08/10 |
| Internet address |
Keywords
- EC Grant Agreement nr.: FP7/231287
- HMI-MI: MULTIMODAL INTERACTIONS
- EC Grant Agreement nr.: FP7/211486
- Time series classification
- Multi-instance learning
- Classification
- n/a OA procedure