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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).
Appears in Collections:JPL TRS 1992+

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