Hand detection image processing for a rescuing robot
This report documents the summary of various approaches used for face-detection. Methods and algorithms developed for face-detection presently are studied to achieve the student’s final year project’s ultimate goal, which is to develop a Hand Detection method and algorithm for a rescuing robot, part...
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| 主要作者: | |
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| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
2010
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| 主題: | |
| 在線閱讀: | http://hdl.handle.net/10356/40740 |
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| 總結: | This report documents the summary of various approaches used for face-detection. Methods and algorithms developed for face-detection presently are studied to achieve the student’s final year project’s ultimate goal, which is to develop a Hand Detection method and algorithm for a rescuing robot, participating in RoboCup Singapore 2010. The method developed by Paul Viola and Michael Jones [1] – Boosted Cascade of Simple Haar Features is picked to be explored. Details on Viola & Jones’s contribution on their renowned object detection algorithm are documented in this report.
A large training samples for hand-detection including images of human hands and mannequins’ hand were collected and used for classifier’s training via Viola & Jones. The details on training procedures are covered.
Lastly, this report includes the detector’s performance and evaluation under various environment and lighting conditions. Future improvements on the hand-detector are also documented in this report. |
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