Multi-Frame Object Detection
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Authors
Laielli, Michael J.
Subjects
Advisors
Kolsch, Mathias
Date of Issue
2012-09
Date
Sep-12
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
This thesis describes an object detection system that extracts and combines appearance information over multiple consecutive video frames, inherently gaining and analyzing information related to motion. Objects that exhibit characteristic motion over the course of multiple frames are able to be detected at smaller scales than achievable by a single-frame detector. Our method builds on the detection work of Viola and Jones, with our extension being the added ability to combine information from multiple frames. Our implementation detects an object in synthetic images at very small scales, down to 3�3 pixels, and has a low false-alarm rate
Type
Thesis
Description
Series/Report No
Department
Remote Sensing Intelligence
Organization
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NPS Report Number
Sponsors
Funder
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Citation
Distribution Statement
Approved for public release; distribution is unlimited.