Tracking visual search over space and time
نویسندگان
چکیده
منابع مشابه
Space-Time Tracking
We propose a new tracking technique that is able to capture non-rigid motion by exploiting a space-time rank constraint. Most tracking methods use a prior model in order to deal with challenging local features. The model usually has to be trained on carefully handlabeled example data before the tracking algorithm can be used. Our new model-free tracking technique can overcome such limitations. ...
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Vision is generally assumed to begin by computing retinotopic maps of a set of low-level features such as color, orientation, and depth. Visual search Treisman and Gelade, 1980] is the problem of locating objects in the image that possess speciied sets of low-level features. Segmentation is the problem of grouping together image pixels having similar low-level features. Tracking is the problem ...
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Tracking persons, that is, determining that a person now is or is not a specific earlier person, is extremely common and widespread in our way of life and extremely important. If so, figuring out what we are tracking, what it is to persist as a person over a period of time, is also important. Trying to figure this out will be the main focus of this paper. (This paper will introduce a theme on t...
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Visual analytics aims to provide technology that combines the strengths of human and electronic data processing. Visualization is the medium through which humans and computers cooperate. Such a synergistic cooperation is required for analyzing spatiotemporal data and solving spatio-temporal problems. In the modern society, spatiotemporal analysis is not solely the business of professional analy...
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Scale selection methods based on local extrema over scale of scale-normalized derivatives have been primarily developed to be applied sparsely — at image points where the magnitude of a scale-normalized differential expression additionally assumes local extrema over the domain where the data are defined. This paper presents a methodology for performing dense scale selection, so that hypotheses ...
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ژورنال
عنوان ژورنال: Psychonomic Bulletin & Review
سال: 2000
ISSN: 1069-9384,1531-5320
DOI: 10.3758/bf03212984