Attention links sensing to recognition

Rothenstein, Albert L.; Tsotsos, John K.

doi:10.1016/j.imavis.2005.08.011

Cited by 53 publications

(29 citation statements)

References 89 publications

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“…It has been demonstrated in [14] that the number of transparent motion directions is limited to two or three different directions displayed simultaneously. To overcome this limitation, selective attention may help to focus processing on the relevant stimulus components in a specific task [19]. In a more recent study, [8] have shown that the number of distinguishable transparent motion directions can indeed be significantly increased by attending to pre-selected directions.…”

Section: Resultsmentioning

confidence: 99%

“…Attention deployed to certain motion directions can improve human performance in segregating up to 6-8 simultaneously presented transparent motion directions in comparison to 2-3 directions in unattended stimuli [8]. Such an improvement has been attributed to a selective tuning mechanism that improves selectivity of visual processing [19]. The discrimination of motion directions in regular displays has been investigated demonstrating that motion directions which differ less than 10 deg are perceived in a compromise direction [21].…”

Section: Introductionmentioning

confidence: 99%

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A model of neural mechanisms in monocular transparent motion perception

Raudies

Neumann

2010

Journal of Physiology-Paris

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Transparent motion is perceived when multiple motions are presented in the same part of visual space which moves in different directions. Several psychophysical as well as physiological experiments have studied the conditions under which motion transparency occurs. Few model mechanisms have been proposed to segregate multiple motions. We present a novel neural model which investigates the necessary mechanisms underlying initial motion detection, the required representations for velocity coding, and the integration and segregation of motion stimuli. The model extends a previously developed architecture for dorsal pathway computations, particularly, in cortical areas V1, MT, and MST, emphasizing the role of feedforward cascade processing and feedback from higher to earlier stages for selective feature enhancement and tuning. Our results demonstrate that the model reproduces several psychophysical findings using random dot stimuli. Moreover, the model is able to process transparent motion in real-world sequences of 3D scenes.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A model of neural mechanisms in monocular transparent motion perception

Raudies

Neumann

2010

Journal of Physiology-Paris

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“…The "Selective Tuning" (ST) model of visual attention by Tsotsos et al (1995) tightly integrates visual attention and object detection (Rothenstein and Tsotsos, 2006). In the first feed-forward pass through this hierarchical system, features of increasing complexity compete locally in WTA networks.…”

Section: Other Models Of Spatial Attentionmentioning

confidence: 99%

“…A particular property chosen at the top of the hierarchy is selectively enhanced throughout the hierarchy to find an object with this property (Tsotsos et al, 1995;Tsotsos et al, 2005;Rothenstein and Tsotsos, 2006).…”

Section: Feature-based Attentionmentioning

confidence: 99%

Attention in hierarchical models of object recognition

Walther

Koch

2007

Progress in Brain Research

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Object recognition and visual attention are tightly linked processes in human perception. Over the last three decades, many models have been suggested to explain these two processes and their interactions, and in some cases these models appear to contradict each other. We suggest a unifying framework for object recognition and attention and review the existing modeling literature in this context. Furthermore, we demonstrate a proof-of-concept implementation for sharing complex features between recognition and attention as a mode of top-down attention to particular objects or object categories."At first he'd most easily make out the shadows; and after that the phantoms of the human beings and the other things in water; and, later, the things themselves." -Socrates describing the visual experience of a man exposed to the richness of the visual world outside his cave for the first time (Plato, The Republic).

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“…Nevertheless, Rothenstein and Tsotsos (2008) claim, based on experimental evidence, that attention and recognition should be interdependent in a bidirectional feedback process which results both in the detection and recognition of the object. An early example of such a model is the one proposed by Rybak et al (1998), where the set of edges extracted at each fixation provides potential targets for the next gaze fixation.…”

Section: Scene/object Recognitionmentioning

confidence: 99%

Vision, Attention Control, and Goals Creation System

Rapantzikos

Avrithis²,

Kolias³

2010

Perception-Action Cycle

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Biological visual attention has been long studied by experts in the field of cognitive psychology. The Holy Grail of this study is the exact modeling of the interaction between the visual sensory and the process of perception. It seems that there is an informal agreement on the four important functions of the attention process: (a) the bottom-up process, which is responsible for the saliency of the input stimuli; (b) the top-down process that bias attention toward known areas or regions of predefined characteristics; (c) the attentional selection that fuses information derived from the two previous processes and enables focus; and (d) the dynamic evolution of the attentional selection process. In the following, we will outline established computational solutions for each of the four functions. OverviewMost of our impressions and memories are based on vision. Nevertheless vision mechanisms and functionalities are still not apparent. How do we perceive shape, color, or motion and how do we automatically focus on the most informative parts of the visual input? It has been long established that primates, including human, use focused attention and fast saccades to analyze visual stimuli based on the current situation or the desired goal. Neuroscientists have proven that neural information related to shape, motion, and color is transmitted through, at least, three parallel and interconnected channels to the brain rather than a single one. Hence a second question arises related to how these channels are "linked" in order to provide useful information to the brain.The Human Visual System (HVS) creates a perceptual representation of the world that is quite different than the two dimensional depiction of the retina.K. Rapantzikos ( ) Image, Video and

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Attention links sensing to recognition

Cited by 53 publications

References 89 publications

A model of neural mechanisms in monocular transparent motion perception

A model of neural mechanisms in monocular transparent motion perception

Attention in hierarchical models of object recognition

Vision, Attention Control, and Goals Creation System

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