Distinguishing between parallel and serial accounts of multiple object tracking

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Distinguishing between parallel and serial accounts of multiple object tracking.

Humans can track multiple moving objects. Is this accomplished by attending to all the objects at the same time or do we attend to each object in turn? We addressed this question using a novel application of the classic simultaneous-sequential paradigm. We considered a display in which objects moved for only part of the time. In one condition, the objects moved sequentially, whereas in the othe...

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Source (or Part of the following Source): Type Article Title Distinguishing between Parallel and Serial Accounts of Multiple Object Tracking Author(s) Distinguishing between Parallel and Serial Accounts of Multiple Object Tracking

Copyright It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content licence (like Creative Commons). UvA-DARE is a service provided by the library of the University of Amsterdam (http://dare.uva.nl) Humans can track mul...

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Distinguishing serial and parallel parsing.

This paper discusses ways of determining whether the human parser is serial maintaining at most, one structural interpretation at each parse state, or whether it is parallel, maintaining more than one structural interpretation in at least some circumstances. We make four points. The first two counterclaims made by Lewis (2000): (1) that the availability of alternative structures should not vary...

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Distinguishing Serial and Parallel Processes 1 Running head : DISTINGUISHING SERIAL AND PARALLEL PROCESSES

Alternative models of divided attention in visual search can be distinguished by the simultaneous-sequential paradigm. This paradigm compares accuracy performance between simultaneous and sequential presentations of otherwise equivalent stimuli. When processing capacity is limited, performance is better in the sequential presentation condition. When processing capacity is unlimited, performance...

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Fast Parallel Object Tracking

The task of object tracking is the following: given a video and an identified object (usually given by a bounding box in the first frame), track the position of the object over the frames of the video. Difficulties in this process include occlusion or changes in orientation. The algorithm by Grabner, Grabner, and Bischof [3] is robust against these changes by using a large number of “weak class...

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ژورنال

عنوان ژورنال: Journal of Vision

سال: 2010

ISSN: 1534-7362

DOI: 10.1167/10.8.11