Mouse behavior recognition with the wisdom of crowd
Author(s)
Ni, Yuzhao
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Other Contributors
Massachusetts Institute of Technology. Computation for Design and Optimization Program.
Advisor
Tomaso Poggio.
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Show full item recordAbstract
In this thesis, we designed and implemented a crowdsourcing system to annotate mouse behaviors in videos; this involves the development of a novel clip-based video labeling tools, that is more efficient than traditional labeling tools in crowdsourcing platform, as well as the design of probabilistic inference algorithms that predict the true labels and the workers' expertise from multiple workers' responses. Our algorithms are shown to perform better than majority vote heuristic. We also carried out extensive experiments to determine the effectiveness of our labeling tool, inference algorithms and the overall system.
Description
Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (p. 67-72).
Date issued
2013Department
Massachusetts Institute of Technology. Computation for Design and Optimization ProgramPublisher
Massachusetts Institute of Technology
Keywords
Computation for Design and Optimization Program.