@misc{cogprints3329,
          volume = {101},
          editor = {Christopher G. Prince and Luc Berthouze and Hideki Kozima and Daniel Bullock and Georgi Stojanov and Christian Balkenius},
           title = {The Whole World in Your Hand: Active and Interactive Segmentation},
          author = {Artur Arsenio and Paul Fitzpatrick and Charles C. Kemp and Giorgio Metta},
       publisher = {Lund University Cognitive Studies},
            year = {2003},
           pages = {49--56},
        keywords = {object segmentation, computer vision, robotic system, wearable system},
             url = {http://cogprints.org/3329/},
        abstract = {Object segmentation is a fundamental problem
in computer vision and a powerful resource for
development. This paper presents three embodied approaches to the visual segmentation of objects. Each approach to segmentation is aided
by the presence of a hand or arm in the proximity of the object to be segmented. The first
approach is suitable for a robotic system, where
the robot can use its arm to evoke object motion. The second method operates on a wearable system, viewing the world from a human's
perspective, with instrumentation to help detect
and segment objects that are held in the wearer's
hand. The third method operates when observing
a human teacher, locating periodic motion (finger/arm/object waving or tapping) and using it
as a seed for segmentation. We show that object segmentation can serve as a key resource for
development by demonstrating methods that exploit high-quality object segmentations to develop
both low-level vision capabilities (specialized feature detectors) and high-level vision capabilities
(object recognition and localization).}
}

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