Abstract
This paper introduces a novel framework for collaborative object recognition, which expands the applicability and improves the accuracy of object recognition. In this framework, a system not only recognizes targets but also detects and evaluates conditions that may make recognition difficult, and tries to resolve the situation by presenting the user with information on how to alter the conditions. The user can see how to make improvements, leading to correct recognition with little effort. The system can provide a useful, easy-to-use tool. In this research, a prototype system for kitchen scenes is designed, which can achieve situation evaluation and human-computer collaboration to improve recognition. We verified the framework by observing improvements in recognition accuracy and behavior of users in our experiments.
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© 2010 Springer-Verlag Berlin Heidelberg
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Kondo, K., Nishitani, H., Nakamura, Y. (2010). Human-Computer Collaborative Object Recognition for Intelligent Support. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15696-0_44
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DOI: https://doi.org/10.1007/978-3-642-15696-0_44
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15695-3
Online ISBN: 978-3-642-15696-0
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