1993
DOI: 10.1007/bf01469226
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Real-time binocular smooth pursuit

Abstract: This article examines the problem of a moving robot tracking a moving object with its cameras, without requiring the ability to recognize the target to distinguish it from distracting surroundings. A novel aspect of the approach taken is the use of controlled camera movements to simplify the visual processing necessary to keep the cameras locked on the target. A gaze-holding system implemented on a robot's binocular head demonstrates this approach. Even while the robot is moving, the cameras are able to track … Show more

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Cited by 107 publications
(36 citation statements)
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“…One technique that determines whether an object is present at the gaze point is by using a zerodisparity filter (ZDF) as proposed in [3]. It is known that objects at or near gaze point appear with zero disparity between the left and right fovea since they are of the same depth.…”
Section: Zero-disparity Filtermentioning
confidence: 99%
“…One technique that determines whether an object is present at the gaze point is by using a zerodisparity filter (ZDF) as proposed in [3]. It is known that objects at or near gaze point appear with zero disparity between the left and right fovea since they are of the same depth.…”
Section: Zero-disparity Filtermentioning
confidence: 99%
“…The second group of approaches in object pursuit is based on other cues and a priori knowledge about the object form. Coombs and Brown [14] demonstrated binocular smooth pursuit on objects with vertical edges with a control rate of 7.5 Hz. Vergence movements are computed using zero-disparity filtering.…”
Section: Related Workmentioning
confidence: 99%
“…In a dynamic scene (e.g. moving objects or egomotion) the vergence angle can be actively exploited in smooth pursuit tasks, to improve the segmentation capabilities of a moving object (Coombs and Brown 1993;Bernardino and Santos-Victor 1998;Choi et al 2003), like a robot hand (Dankers et al 2007), to continuously estimate the epipolar geometry of the vision system (Bjorkman and Eklundh 2002; Pauwels and Van Hulle 2012) and to improve its estimation (Monaco et al 2009), as well as for navigation purpose (Konolige 1998;Knight and Reid 2006).…”
Section: Introductionmentioning
confidence: 99%