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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jong-Il Yoon Kyoung-Kwan Ahn |
| Copyright Year | 2006 |
| Description | Author affiliation: Graduate Sch. of Mech. & Automotive Eng., Ulsan Univ. (Jong-Il Yoon) |
| Abstract | This paper proposed the face detection and tracking system using a embedded computing system for humanoid robot environment which allows the user to observe and recognize an unknown person. For detection of faces in image sequence, this system uses the skin color model and deformable ellipse matching. Faces in a view are detected by maximizing the image gradient magnitude around the perimeter of the ellipse (or face line) and the number of skin color pixels in the ellipse area. The information of detected face regions are stored online into a face state table and are evaluated for tracking in real-time. This state table's information is gotten and image sequence is processed by wireless camera. And we can process data by zigbee wireless module. Results of this processing are applied to embedded humanoid robot. The robot can detect human's face and react to it. After this processing, the result is sent to the embedded humanoid robot through zigbee wireless module. The robot that got this data acts to detect human's face and react to it |
| Starting Page | 5593 |
| Ending Page | 5597 |
| File Size | 5945056 |
| Page Count | 5 |
| File Format | |
| ISBN | 8995003847 |
| DOI | 10.1109/SICE.2006.315783 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-10-18 |
| Publisher Place | South Korea |
| Access Restriction | Subscribed |
| Rights Holder | The Institute of Control, Automation and Systems |
| Subject Keyword | Embedded computing Face detection Humanoid robots Image sequences Skin ZigBee Face recognition Deformable models Pixel Robot vision systems image sequence humanoid robot tracking system detecting system robot vision system embedded robot system zigbee module wireless camera robot driving system |
| Content Type | Text |
| Resource Type | Article |
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