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Proceedings Paper

Feature variations for a static vehicle track from airborne image sequences
Author(s): Gregory J. Power; Maite Trujillo San Martin; Ricardo A. Diaz
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Paper Abstract

Selecting the correct feature set is an essential basis for video sequence analysis that leads to applications such as tracking and recognition of vehicles. This paper selects diverse multiple features and tests their accuracy for tracking a static vehicle. The static vehicle images are captured with airborne infrared and color video cameras. The camera collects 30 frames per second of compressed video in Motion JPEG format. The diverse features are selected from representative histogram-based, invariant-based, spatial-temporal-based and the center-symmetric autocorrelation-based family of features. A small dataset of airborne video sequences that include static vehicles with variations in quality, orientation, resolution, foreground lighting and background lighting are used to test feature selection and static tracking. The track of the vehicles is hand selected frame-to-frame to create a truth track. The result of each feature to maintain track is tested and scored based on distance from the truth track. Once a significant break from track occurs, the truth data is used to reacquire track. One goodness score is based on how often a feature breaks track. This analysis shows promise for identifying appropriate features for improved tracking results. The suggested algorithm is demonstrated on only a few video sequences with limited variations in operating conditions but demonstrates improvement possibilities for near real-time application.

Paper Details

Date Published: 15 September 2005
PDF: 8 pages
Proc. SPIE 5907, Photonic Devices and Algorithms for Computing VII, 59070Q (15 September 2005); doi: 10.1117/12.616103
Show Author Affiliations
Gregory J. Power, Wright State Univ. (United States)
Maite Trujillo San Martin, Wright State Univ. (United States)
Ricardo A. Diaz, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 5907:
Photonic Devices and Algorithms for Computing VII
Khan M. Iftekharuddin; Abdul A. S. Awwal, Editor(s)

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