NDLI: Realtime Visual Tracking of Aircrafts

Content Provider	IEEE Xplore Digital Library
Author	Mian, A.S.
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci. & Software Eng., Univ. of Western Australia, Crawley, WA (Mian, A.S.)
Abstract	Aircraft tracking has applications in guided landing, automatic scoring in aerobatics and target tracking for military. Radar based tracking is expensive, gives away the position of the radar and is prone to jamming. However, vision sensors are low cost, passive and robust to jamming hence motivating their use for aircraft tracking. This paper proposes a modified KLT tracking algorithm and tests its performance by tracking aircrafts. Vision based aircraft tracking is challenging because of the higher speed, agility and distance of the aircraft from the camera. The proposed tracker uses a feature clustering criterion to track an object based on its multiple local features. The local features are continuously updated to make the tracker robust to changing appearance of the object. The proposed tracker is generic and can be used to track multiple objects of any kind by defining multiple feature clusters. Experiments were performed on real data collected during the Air Race 2006 which will be made publicly available. The algorithm achieved accurate tracking in the presence of clouds and background clutter as long as the object size was comparable to the feature window. However, tracking failed at very small scales of the aircraft and in the presence of background clutter while the aircraft was flying low, a scenario where radars also fail.
Starting Page	351
Ending Page	356
File Size	275597
Page Count	6
File Format	PDF
ISBN	9780769534565
DOI	10.1109/DICTA.2008.33
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-01
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Costs aircraft tracking Radar tracking optical flow Jamming Clutter tracking Clustering algorithms Kanade-Lucas-Tomasi algorithm Military aircraft Robustness Karhunen-Loeve transforms Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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