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Proceedings Paper

Target tracking and localization using infrared video imagery
Author(s): Alex Barsamian; Vincent H. Berk; George V. Cybenko
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Paper Abstract

One of the significant problems in visual tracking of objects is the requirement for a human analyst to post-process and interpret the data. For instance, consider the task of tracking a target, in this case a moving person, using video imagery. When this person hides behind an obstruction, and is therefore no longer visible by the camera, conventional tracking systems quickly lose track of the target and are no longer able to indicate where the target is or where it was headed. A human interpreter is then needed to conclude that the person is hiding, and probably (with certain probability) is still there. A Process Query System (PQS) is able to track and predict the path of arbitrary objects, based only on a description of their dynamic behavior, thus eliminating the need for precise identification of each object in every frame. The PQS is therefore able to draw human-like conclusions, allowing the system to track the person even when he/she is out of view. Additionally, using dynamic descriptions of tracked objects allows for low-quality video signals, or even infrared video, to be used for tracking. In this paper we introduce a novel way of implementing a video-based tracking system using a Process Query System to predict the position of objects in the environment, even after they have disappeared from view. Although the image processing pipeline is trivial, tracking accuracy is remarkably high, suggesting that overall performance can be improved even further with the use of more sophisticated video processing and image recognition technology.

Paper Details

Date Published: 19 May 2006
PDF: 7 pages
Proc. SPIE 6231, Unattended Ground, Sea, and Air Sensor Technologies and Applications VIII, 62310T (19 May 2006); doi: 10.1117/12.670128
Show Author Affiliations
Alex Barsamian, Dartmouth College (United States)
Vincent H. Berk, Dartmouth College (United States)
George V. Cybenko, Dartmouth College (United States)


Published in SPIE Proceedings Vol. 6231:
Unattended Ground, Sea, and Air Sensor Technologies and Applications VIII
Edward M. Carapezza, Editor(s)

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