Searching for camouflaged targets: Effects of target-background similarity on visual search

Do observers search for camouflaged targets by looking through the distractors or by scrutinizing the target-similar background? In four experiments observers searched for toy targets among distractors under varying set size and target-background similarity (TBS) conditions. Manual errors and RTs increased with TBS, although search slopes did not significantly differ. Eye movement analyses revealed that the majority of fixations fell on discrete distractors rather than on the target-similar background, even under high TBS conditions. These data suggest a biased search process; salient patterns segmented from a background are preferred while more target-similar unsegmented regions of the background are relatively neglected.

[1]  M. Hayhoe,et al.  In what ways do eye movements contribute to everyday activities? , 2001, Vision Research.

[2]  J. D. Gould,et al.  Visual search, complex backgrounds, mental counters, and eye movements , 1973 .

[3]  Irving Biederman,et al.  Object search in nonscene displays. , 1988 .

[4]  W. D. Ross,et al.  A Neural Theory of Attentive Visual Search : Interactions of Boundary , Surface , Spatial , and Object Representations By : Stephen Grossberg , 2004 .

[5]  Ronald A. Rensink,et al.  Influence of scene-based properties on visual search. , 1990, Science.

[6]  G. Zelinsky,et al.  Eye movements during parallel-serial visual search. , 1997 .

[7]  H. Neumann,et al.  Neural mechanisms of human texture processing: texture boundary detection and visual search. , 2005, Spatial vision.

[8]  M. G. King,et al.  Visual Search Processes in Camouflage Detection , 1984 .

[9]  V. Ramachandran,et al.  On the perception of shape from shading , 1988, Nature.

[10]  A. Kramer,et al.  Perceptual organization and focused attention: The role of objects and proximity in visual processing , 1991, Perception & psychophysics.

[11]  A. Treisman.  Perceptual grouping and attention in visual search for features and for objects. , 1982, Journal of experimental psychology. Human perception and performance.

[12]  Susan L. Franzel,et al.  Guided search: an alternative to the feature integration model for visual search. , 1989, Journal of experimental psychology. Human perception and performance.

[13]  J. Wolfe.  Visual search in continuous, naturalistic stimuli , 1994, Vision Research.

[14]  John K. Tsotsos,et al.  Neurobiology of Attention , 2005 .

[15]  Rajesh P. N. Rao,et al.  PSYCHOLOGICAL SCIENCE Research Article EYE MOVEMENTS REVEAL THE SPATIOTEMPORAL DYNAMICS OE VISUAL SEARCH , 2022 .

[16]  A. Oliva,et al.  Segmentation of objects from backgrounds in visual search tasks , 2002, Vision Research.

[17]  S Ullman,et al.  Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.

[18]  D. Levin.  CLASSIFYING FACES BY RACE : THE STRUCTURE OF FACE CATEGORIES , 1996 .

[19]  M. Goldsmith.  What's in a location? Comparing object-based and space-based models of feature integration in visual search. , 1998 .

[20]  Derrick J. Parkhurst,et al.  Modeling the role of salience in the allocation of overt visual attention , 2002, Vision Research.

[21]  C. Koch,et al.  A saliency-based search mechanism for overt and covert shifts of visual attention , 2000, Vision Research.

[22]  A Treisman,et al.  Feature analysis in early vision: evidence from search asymmetries. , 1988, Psychological review.

[23]  Gregory J. Zelinsky,et al.  CHAPTER 65 – Specifying the Components of Attention in a Visual Search Task , 2005 .

[24]  B. Julesz.  Textons, the elements of texture perception, and their interactions , 1981, Nature.

[25]  A. Treisman.  Features and Objects: The Fourteenth Bartlett Memorial Lecture , 1988, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[26]  M. Farah,et al.  Does visual attention select objects or locations? , 1994, Journal of experimental psychology. General.

[27]  C. Koch,et al.  Computational modelling of visual attention , 2001, Nature Reviews Neuroscience.

[28]  G. Zelinsky.  Using Eye Saccades to Assess the Selectivity of Search Movements , 1996, Vision Research.

[29]  Ronald A. Rensink,et al.  Preattentive recovery of three-dimensional orientation from line drawings. , 1991, Psychological review.

[30]  G. Baylis,et al.  Visual attention and objects: evidence for hierarchical coding of location. , 1993, Journal of experimental psychology. Human perception and performance.

[31]  I. Biederman,et al.  Searching for objects in real-world scences. , 1973, Journal of experimental psychology.

[32]  J. Henderson,et al.  High-level scene perception. , 1999, Annual review of psychology.

[33]  W Prinzmetal,et al.  Principles of feature integration in visual perception , 1981, Perception & psychophysics.

[34]  C. Eriksen,et al.  Allocation of attention in the visual field. , 1985, Journal of experimental psychology. Human perception and performance.

[35]  J. Henderson,et al.  The effects of semantic consistency on eye movements during complex scene viewing , 1999 .

[36]  L. Itti,et al.  Modeling the influence of task on attention , 2005, Vision Research.

[37]  K. Turano,et al.  Oculomotor strategies for the direction of gaze tested with a real-world activity , 2003, Vision Research.

[38]  U. Neisser.  VISUAL SEARCH. , 1964, Scientific American.

[39]  Zijiang J. He,et al.  Surfaces versus features in visual search , 1992, Nature.

[40]  J. Duncan.  Selective attention and the organization of visual information. , 1984, Journal of experimental psychology. General.

[41]  J. Wolfe,et al.  Guided Search 2.0 A revised model of visual search , 1994, Psychonomic bulletin & review.

[42]  A. Treisman,et al.  A feature-integration theory of attention , 1980, Cognitive Psychology.

[43]  G J Zelinsky,et al.  Eye movements during change detection: Implications for search constraints, memory limitations, and scanning strategies , 2001, Perception & psychophysics.

[44]  J. Duncan,et al.  Visual search and stimulus similarity. , 1989, Psychological review.

[45]  J. Findlay.  Global visual processing for saccadic eye movements , 1982, Vision Research.

[46]  Jeff K. Caird,et al.  Visual Search for Traffic Signs: The Effects of Clutter, Luminance, and Aging , 2001, Hum. Factors.

[47]  Rajesh P. N. Rao,et al.  Eye movements in iconic visual search , 2002, Vision Research.

[48]  T. Shipley,et al.  PART-BASED REPRESENTATIONS OF VISUAL SHAPE AND IMPLICATIONS FOR VISUAL COGNITION , 2002 .

[49]  F. Keil,et al.  Efficient visual search by category: Specifying the features that mark the difference between artifacts and animals in preattentive vision , 2001, Perception & psychophysics.

[50]  Antonio Torralba,et al.  Top-down control of visual attention in object detection , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

[51]  Gregory J. Zelinsky,et al.  Precuing target location in a variable set size "nonsearch" task: Dissociating search-based and interference-based explanations for set size effects. , 1999 .

[52]  B. C. Motter,et al.  The guidance of eye movements during active visual search , 1998, Vision Research.

[53]  J M Findlay,et al.  Visual computation and saccadic eye movements: a theoretical perspective. , 1987, Spatial vision.

[54]  F. Newell,et al.  Is object search mediated by object-based or image-based representations? , 2004, Spatial vision.

[55]  Hany Farid,et al.  Search for a Category Target in Clutter , 2004, Perception.

[56]  Gregory J. Zelinsky,et al.  Scene context guides eye movements during visual search , 2006, Vision Research.

[57]  Deborah J. Aks,et al.  Visual search for size is influenced by a background texture gradient. , 1996, Journal of experimental psychology. Human perception and performance.