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1 August 1990 Statistical multistate gate tracker with fuzzy intelligent tracking tactics
Zhili Liu
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Proceedings Volume 1258, Image Communications and Workstations; (1990) https://doi.org/10.1117/12.19953
Event: Electronic Imaging: Advanced Devices and Systems, 1990, Santa Clara, CA, United States
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.
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Citation Download Citation
Zhili Liu "Statistical multistate gate tracker with fuzzy intelligent tracking tactics", Proc. SPIE 1258, Image Communications and Workstations, (1 August 1990); https://doi.org/10.1117/12.19953
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KEYWORDS
Fuzzy logic
Image segmentation
Transform theory
Detection and tracking algorithms
Mathematics
Statistical analysis
Error analysis
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