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Person Location Service on the Planetary Sensor Network
Shan, Ting, Lovell, Brian C. and Chen, Shaokang (2005). Person Location Service on the Planetary Sensor Network. In: Lovell, Brian C. and Maeder, Anthony J., APRS Workshop on Digital Image Computing; Workshop Proceedings. APRS Workshop on Digital Image Computing, Brisbane, (151-156). 21 February, 2005.
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| Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials) |
| Name |
Description |
MIMEType |
Size |
Downloads |
n1.pdf
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n1.pdf |
application/pdf |
335.49KB |
226 |
| Author(s) |
Shan, Ting
Lovell, Brian C.
Chen, Shaokang
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| Title of paper |
Person Location Service on the Planetary Sensor Network
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| Conference name |
APRS Workshop on Digital Image Computing
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| Conference location |
Brisbane
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| Conference dates |
21 February, 2005
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| Proceedings title |
APRS Workshop on Digital Image Computing; Workshop Proceedings
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| Editor(s) |
Lovell, Brian C.
Maeder, Anthony J.
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| Place published |
Brisbane, Austrlaia
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| Publisher |
The Australian Pattern Recognition Society
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| Publication date |
2005
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| Volume number |
1
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| Issue number |
1
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| ISBN |
0-9580255-3-3
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| Start page |
151
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| End page |
156
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| Total pages |
6
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| Collection year |
2005
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| Language |
eng
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| Abstract/Summary |
This paper gives a prototype application which can provide a person location service on the IrisNet. Two crucial technologies face detection and face recognition underpinning such
image and video data mining service are explained. For the face detection, authors use 4 types of simple rectangles as features, Adaboost as the learning algorithm to select the important features
for classification, and finally generate a cascade of classifiers which is extremely fast on the face detection task. As for the face recognition, the authors develop Adaptive Principle Components
Analysis (APCA) to improve the robustness of principal Components Analysis (PCA) to nuisance factors such as lighting and expression. APCA also can recognize faces from single face which is
suitable in a data mining situation
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| Subjects |
280208 Computer Vision
280203 Image Processing
280207 Pattern Recognition
E1
700199 Computer software and services not elsewhere classified
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| Keyword(s) |
iris-research
person location service
face detection
face recognition
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