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Please use this identifier to cite or link to this item:
http://hdl.handle.net/2014/41717
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| Title: | Testing of Haar-like feature in region of interest detection for Automated Target Recognition (ATR) System |
| Authors: | Zhang, Yuhan
Lu, Dr. Thomas |
| Keywords: | automated target recognition
Haar-like feature
neural network |
| Issue Date: | 2010 |
| Publisher: | Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2010. |
| Citation: | Cooperative Education Report, Pasadena, California 2010 |
| Abstract: | The objectives of this project were to develop a ROI (Region of Interest) detector using Haar-like feature similar to the face detection in Intel’s OpenCV library, implement it in Matlab code, and test the performance of the new ROI detector against the existing ROI detector that uses Optimal Trade-off Maximum Average Correlation Height filter (OTMACH). |
| URI: | http://hdl.handle.net/2014/41717 |
| Appears in Collections: | JPL TRS 1992+
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