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Proceedings Paper

Statistical multistate gate tracker with fuzzy intelligent tracking tactics
Author(s): Zhili Liu
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Paper Abstract

By analyzing the tracking scenario thoroughly, the gate tracking scenario may fall into four states:(Si) Common tracking state:main state in which the target moves smoothly and there is little disturbance of foreground and background. (52) the target unstable state in the gate:the target violent movement and the target existence in strong disturbances. (83)The taret is escaping from the tracking gate. (S4)the target is completely Iost.Fuzzy mathematics is introduced to describe those four states and transforms among them.The finite state fuzzy automachine is formed. Several statistical parameters have been proved to be very effective to describe the four states by mean of fuzzy concepts. The automachine can provide both the fuzzy probabilities of four tracking states and the transform matrix among them. The elements of the matrix which present the transform probabilities among the four states are set up by the combination of statistical parameters. The fuzzy automachine can provide the most probable state decision to guide the multi-state gate tracker to chose the proper tracking tactics at any time. The different tracking algorithm can be applied to different state in order to keep on tracking under both the common tracking situation and uncommon tracking situation6.

Paper Details

Date Published: 1 August 1990
PDF: 10 pages
Proc. SPIE 1258, Image Communications and Workstations, (1 August 1990); doi: 10.1117/12.19953
Show Author Affiliations
Zhili Liu, North China Research Institute of Electro-Optics (China)

Published in SPIE Proceedings Vol. 1258:
Image Communications and Workstations
Walter Bender; Mitsunaga Saito, Editor(s)

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