The Level of Attention: Mediating Between the Stimulus and Perception

Wolfe, Jeremy M.

doi:10.1007/0-387-22673-7_9

Cited by 10 publications

(4 citation statements)

References 97 publications

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“…This pattern of results has been reproduced with a wide variety of search tasks using many different search stimuli: letters, meaningless figures, objects, and so forth. The same pattern was observed when the target was identified by a direct physical match between target cue and search stimuli (e.g., both uppercase) and when the target was identified by an auditory cue (Wolfe, 2003).…”

supporting

confidence: 60%

“…However, there are limits on the ability of knowledge about the scene to guide the deployment of attention. In a series of experiments, Wolfe and colleagues (Wolfe, 2003;Wolfe et al, 2000Wolfe et al, , 2002 described repeated search tasks in which familiarity with a search display produced little or no improvement in search efficiency. In typical search tasks, observers look for a target amidst some number of distractors (the set size).…”

mentioning

confidence: 99%

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Panoramic Search: The Interaction of Memory and Vision in Search Through a Familiar Scene.

Oliva¹,

Wolfe²,

Arsenio³

2004

Journal of Experimental Psychology: Human Perception and Perfor

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How do observers search through familiar scenes? A novel panoramic search method is used to study the interaction of memory and vision in natural search behavior. In panoramic search, observers see part of an unchanging scene larger than their current field of view. A target object can be visible, present in the display but hidden from view, or absent. Visual search efficiency does not change after hundreds of trials through an unchanging scene (Experiment 1). Memory search, in contrast, begins inefficiently but becomes efficient with practice. Given a choice between vision and memory, observers choose vision (Experiments 2 and 3). However, if forced to use their memory on some trials, they learn to use memory on all trials, even when reliable visual information remains available (Experiment 4). The results suggest that observers make a pragmatic choice between vision and memory, with a strong bias toward visual search even for memorized stimuli.

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supporting

confidence: 60%

mentioning

confidence: 99%

Panoramic Search: The Interaction of Memory and Vision in Search Through a Familiar Scene.

Oliva¹,

Wolfe²,

Arsenio³

2004

Journal of Experimental Psychology: Human Perception and Perfor

Self Cite

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“…Many researchers in cognitive psychology have tried to identify such features. A critical review of this research is proposed in Wolfe (2001). One result is that ''preattentive basic features are coarsely coded.…”

Section: From Perception To Cognitionmentioning

confidence: 99%

Attention aware systems: Theories, applications, and research agenda

Roda

Thomas

2006

Computers in Human Behavior

138

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Human perceptual and cognitive abilities are limited resources. Attention is the mechanism used to allocate such resources in the most effective way. Current technologies, in addition to allowing fast access to information and people, should be designed to support human attentional processes on which they impose further strain. This paper analyses the issues related to the design of systems capable of such support: attention aware systems. We introduce the research aimed at understanding and modelling human attentional processes, including perceptual and cognitive processes as studied in cognitive psychology, as well as rhetorical, aesthetic, and social aspects related to attentional mechanisms. We analyse current approaches to the design of attention aware systems along three major features: detection of user's current attentional state, detection and evaluation of possible alternative attentional states, strategies for focus switch or maintenance. Finally, we discuss the most promising research direction for the development of systems capable of supporting human attentional mechanisms.

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“…When observing an image containing vehicles, people can quickly focus on certain objects like logos if they have an interest in them. Such attention mechanisms; that is, the process of selecting and gating visual information based on the saliency found in the image itself and prior knowledge about scenes, objects, and their interrelations [17], have been an intriguing research area in vision science for many years [18][19][20]. Rather than delving into the attention models, our intuition is to simulate this automatic focusing process by first extracting vehicle areas from the original image for coarse representation, followed by RoI segmentation from the detected vehicle.…”

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confidence: 99%

An Integrative Approach to Accurate Vehicle Logo Detection

Peng¹,

Zhang

2013

Journal of Electrical and Computer Engineering

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Vehicle logo detection from images captured by surveillance cameras is an important step towards the vehicle recognition that is required for many applications in intelligent transportation systems and automatic surveillance. The task is challenging considering the small target of logos and the wide range of variability in shape, color, and illumination. A fast and reliable vehicle logo detection approach is proposed following visual attention mechanism from the human vision. Two prelogo detection steps, that is, vehicle region detection and a small RoI segmentation, rapidly focalize a small logo target. An enhanced Adaboost algorithm, together with two types of features of Haar and HOG, is proposed to detect vehicles. An RoI that covers logos is segmented based on our prior knowledge about the logos' position relative to license plates, which can be accurately localized from frontal vehicle images. A two-stage cascade classier proceeds with the segmented RoI, using a hybrid of Gentle Adaboost and Support Vector Machine (SVM), resulting in precise logo positioning. Extensive experiments were conducted to verify the efficiency of the proposed scheme.

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The Level of Attention: Mediating Between the Stimulus and Perception

Cited by 10 publications

References 97 publications

Panoramic Search: The Interaction of Memory and Vision in Search Through a Familiar Scene.

Panoramic Search: The Interaction of Memory and Vision in Search Through a Familiar Scene.

Attention aware systems: Theories, applications, and research agenda

An Integrative Approach to Accurate Vehicle Logo Detection

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