Presentation 2002/11/15
A Trainable Object-Tracking Method using Equivalent Retinotopical Sampling
Hirotaka NIITSUMA,
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Abstract(in English) In this article, a maximum likelihood based trainable object tracking method is proposed. The concept of Retinotopical Sampling (RS) was inspired by human saccadic eye movements and enables a quick recognition of eyes, mouth in static images. However, when the object size is inferred by RS the result tends to gravitate towards zero. In this article, Equivalent Retinotopical Sampling(ERS), which is an extension of RS, is proposed. ERS can infer the size of objects more accurately. Using ERS, a trainable object tracking method, with essentially only two parameters, has been formulated.
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Keyword(in English) Retinotopical Sampling / Maximum Likelihood / Object Tracking
Paper # HIP2002-34
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Committee HIP
Conference Date 2002/11/15(1days)
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Language ENG
Title (in Japanese) (See Japanese page)
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Title (in English) A Trainable Object-Tracking Method using Equivalent Retinotopical Sampling
Sub Title (in English)
Keyword(1) Retinotopical Sampling
Keyword(2) Maximum Likelihood
Keyword(3) Object Tracking
1st Author's Name Hirotaka NIITSUMA
1st Author's Affiliation DENSO IT LABORATORY, INC.()
Date 2002/11/15
Paper # HIP2002-34
Volume (vol) vol.102
Number (no) 473
Page pp.pp.-
#Pages 6
Date of Issue