Name
Abstract | ||
|---|---|---|
We propose a system for detecting bids for eye contact directed from a child to an adult who is wearing a point-of-view camera. The camera captures an egocentric view of the child-adult interaction from the adult's perspective. We detect and analyze the child's face in the egocentric video in order to automatically identify moments in which the child is trying to make eye contact with the adult. We present a learning-based method that couples a pose-dependent appearance model with a temporal Conditional Random Field (CRF). We present encouraging findings from an experimental evaluation using a newly collected dataset of 12 children. Our method outperforms state-of-the-art approaches and enables measuring gaze behavior in naturalistic social interactions. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/FG.2015.7163095 | FG |
Keywords | Field | DocType |
glass,face,face recognition,feature extraction,autism,estimation | Conditional random field,Autism,Computer vision,Gaze,Wearable computer,Computer science,Active appearance model,Feature extraction,Artificial intelligence,Eye contact | Conference |
ISSN | Citations | PageRank |
2326-5396 | 9 | 0.76 |
References | Authors | |
22 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhefan Ye | 1 | 101 | 4.79 |
| Yin Li | 2 | 797 | 35.85 |
| Yun Liu | 3 | 9 | 0.76 |
| Chanel Bridges | 4 | 9 | 0.76 |
| Agata Rozga | 5 | 149 | 12.11 |
| James M. Rehg | 6 | 5259 | 474.66 |