2009
DOI: 10.1016/j.cub.2009.07.057
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Optic Flow Processing for the Assessment of Object Movement during Ego Movement

Abstract: The vast majority of research on optic flow (retinal motion arising because of observer movement) has focused on its use in heading recovery and guidance of locomotion. Here we demonstrate that optic flow processing has an important role in the detection and estimation of scene-relative object movement during self movement. To do this, the brain identifies and globally discounts (i.e., subtracts) optic flow patterns across the visual scene-a process called flow parsing. Remaining motion can then be attributed … Show more

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Cited by 143 publications
(216 citation statements)
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References 39 publications
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“…Recent evidence by Wolbers et al [72] suggests that the brain can use optic flow to monitor target locations in an egocentric map of space (see figure 7). Also, Warren & Rushton [73] showed a role of optic flow in the estimation of scene-relative object movement during self movement.…”
Section: Passive Versus Active Self-motionmentioning
confidence: 99%
“…Recent evidence by Wolbers et al [72] suggests that the brain can use optic flow to monitor target locations in an egocentric map of space (see figure 7). Also, Warren & Rushton [73] showed a role of optic flow in the estimation of scene-relative object movement during self movement.…”
Section: Passive Versus Active Self-motionmentioning
confidence: 99%
“…Fore-aft translations are studied extensively in the domain of heading perception [77][78][79]. Psychophysical studies have shown that the human visual system can 'parse out' objects from optic flow patterns [80,81], but we know little about how humans or animals estimate depth of objects under these conditions. Thus, there may be an opportunity to integrate domains of research related to motion parallax and heading perception.…”
Section: Summary and Future Directionsmentioning
confidence: 99%
“…We represent pedestrians as discs of radius 0.2 m. Following previous work, we assume that each pedestrian has a preferred speed that is drawn from a truncated normal distribution with mean 1.34 m s 21 and standard deviation 0.26 m s…”
Section: Simulation Proceduresmentioning
confidence: 99%
“…the end of a corridor or an exit). Therefore, the default movement preference of pedestrians is directly towards a target [21] in all four heuristics. Targets are implemented as rectangular surfaces inside the simulated environment and pedestrians attempt to move in a direct line from their current position to the nearest point on this surface.…”
Section: Cognitive Heuristics For Pedestriansmentioning
confidence: 99%