Visual Focus of Attention Estimation With Unsupervised Incremental Learning
نویسندگان
چکیده
منابع مشابه
Visual Focus of Attention estimation with unsupervised online learning
In this paper, we propose a new method for estimating the Visual Focus Of Attention (VFOA) in a video stream captured by a single distant camera and showing several persons sitting around table, like in formal meeting or videoconferencing settings. The visual targets for a given person are automatically extracted on-line using an unsupervised algorithm that incrementally learns the different ap...
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We present an incremental focus of attention (IFA) architecture for adding robust-ness to software-based, real-time, motion trackers. The framework provides a structure which, when given the entire camera image to search, eeciently focuses the attention of the system into a narrow set of conngurations that includes the target conngura-tion. IFA ooers a means for automatic tracking initializatio...
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The problem of finding the visual focus of attention of multiple people free to move in an uncons-trained manner is defined here as the wandering visual focus of attention (WVFOA) problem. Estimating the WVFOA for multiple unconstrained people is a new and important problem with implications for human behavior understanding and cognitive science, as well as real-world applications. One such app...
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The Incremental Focus of Attention (IFA) framework provides a structure in which diierent algorithms for visual motion tracking can be assembled into a single system which tracks an object with the best combination of precision, speed, and robustness. IFA puts diierent tracking algorithms in a hierarchy based on speed and precision and supplies a means for determining which algorithm should per...
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Adaptive autonomous agents have to learn about the effects of their actions so as to be able to improve their performance and adapt to long term changes. The problem of correlating actions with changes in sensor data is O(n 2 ) and therefore computationally infeasible for any non-trivial application. We propose to make this problem more manageable by using focus of attention. In particular, we ...
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ژورنال
عنوان ژورنال: IEEE Transactions on Circuits and Systems for Video Technology
سال: 2016
ISSN: 1051-8215,1558-2205
DOI: 10.1109/tcsvt.2015.2501920