Literature DB >> 29238912

Hue distinctiveness overrides category in determining performance in multiple object tracking.

Mengdan Sun1, Xuemin Zhang2,3,4, Lingxia Fan1, Luming Hu1.   

Abstract

The visual distinctiveness between targets and distractors can significantly facilitate performance in multiple object tracking (MOT), in which color is a feature that has been commonly used. However, the processing of color can be more than "visual." Color is continuous in chromaticity, while it is commonly grouped into discrete categories (e.g., red, green). Evidence from color perception suggested that color categories may have a unique role in visual tasks independent of its chromatic appearance. Previous MOT studies have not examined the effect of chromatic and categorical distinctiveness on tracking separately. The current study aimed to reveal how chromatic (hue) and categorical distinctiveness of color between the targets and distractors affects tracking performance. With four experiments, we showed that tracking performance was largely facilitated by the increasing hue distance between the target set and the distractor set, suggesting that perceptual grouping was formed based on hue distinctiveness to aid tracking. However, we found no color categorical effect, because tracking performance was not significantly different when the targets and distractors were from the same or different categories. It was concluded that the chromatic distinctiveness of color overrides category in determining tracking performance, suggesting a dominant role of perceptual feature in MOT.

Keywords:  Categorical perception; Color category; Hue; Multiple object tracking; Perceptual grouping

Mesh:

Year:  2018        PMID: 29238912     DOI: 10.3758/s13414-017-1466-7

Source DB:  PubMed          Journal:  Atten Percept Psychophys        ISSN: 1943-3921            Impact factor:   2.199


  30 in total

1.  Activation of the middle fusiform 'face area' increases with expertise in recognizing novel objects.

Authors:  I Gauthier; M J Tarr; A W Anderson; P Skudlarski; J C Gore
Journal:  Nat Neurosci       Date:  1999-06       Impact factor: 24.884

2.  Multiple-object tracking: the binding of spatial location and featural identity.

Authors:  K Botterill; R Allen; P McGeorge
Journal:  Exp Psychol       Date:  2011

Review 3.  Tracking multiple targets with multifocal attention.

Authors:  Patrick Cavanagh; George A Alvarez
Journal:  Trends Cogn Sci       Date:  2005-07       Impact factor: 20.229

4.  The Psychophysics Toolbox.

Authors:  D H Brainard
Journal:  Spat Vis       Date:  1997

5.  The effects of distractors in multiple object tracking are modulated by the similarity of distractor and target features.

Authors:  Cary S Feria
Journal:  Perception       Date:  2012       Impact factor: 1.490

6.  Visual search and stimulus similarity.

Authors:  J Duncan; G W Humphreys
Journal:  Psychol Rev       Date:  1989-07       Impact factor: 8.934

7.  Discrimination and matching within and between hues measured by reaction times: some implications for categorical perception and levels of information processing.

Authors:  M H Bornstein; N O Korda
Journal:  Psychol Res       Date:  1984

8.  The human first hypothesis: identification of conspecifics and individuation of objects in the young infant.

Authors:  Luca Bonatti; Emmanuel Frot; Renate Zangl; Jacques Mehler
Journal:  Cogn Psychol       Date:  2002-06       Impact factor: 3.468

9.  Categorical encoding of color in the brain.

Authors:  Chris M Bird; Samuel C Berens; Aidan J Horner; Anna Franklin
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-03       Impact factor: 11.205

10.  Using Bayes to get the most out of non-significant results.

Authors:  Zoltan Dienes
Journal:  Front Psychol       Date:  2014-07-29
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  3 in total

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Authors:  Mengdan Sun; Luming Hu; Lingxia Fan; Xuemin Zhang
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2.  Object correspondence: Using perceived causality to infer how the visual system knows what went where.

Authors:  Cathleen M Moore; Teresa Stephens; Elisabeth Hein
Journal:  Atten Percept Psychophys       Date:  2020-01       Impact factor: 2.199

Review 3.  Multiple-target tracking in human and machine vision.

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  3 in total

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