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Content Provider | IEEE Xplore Digital Library |
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Author | Santhaseelan, V. Asari, V.K. |
Copyright Year | 2013 |
Description | Author affiliation: Univ. of Dayton, Dayton, OH, USA (Santhaseelan, V.; Asari, V.K.) |
Abstract | Tracking in wide area motion imagery (WAMI) is extremely complex because of low resolution of targets, low frame rate and a host of other detrimental environmental factors. In this paper, we propose a robust feature-based method to track objects in WAMI data by exploiting local phase and orientation information based on the monogenic signal representation. We present a detailed monogenic space based analysis to develop a robust method to track objects of low resolution in wide area aerial surveillance imagery. By exploiting local phase information at multiple scales, objects in shadows can be tracked. We also propose an efficient technique to make the feature representation of objects rotation invariant by utilizing local orientation of the object region. The proposed technique is shown to be robust in challenging situations that are characteristic of wide area motion imagery. Effectiveness of the proposed method is illustrated by comparing its performance with dense set of SIFT features and mean shift tracker. |
Starting Page | 823 |
Ending Page | 830 |
File Size | 3074914 |
Page Count | 8 |
File Format | |
ISBN | 9780769549903 |
ISSN | 21607516 |
DOI | 10.1109/CVPRW.2013.123 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-06-23 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Band-pass filters feature tracking monogenic signal phase vector Tracking Lighting Transforms Feature extraction Vectors Robustness wide area motion imagery |
Content Type | Text |
Resource Type | Article |
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