AAAI Publications, Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence

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Predicting Professions through Probabilistic Model under Social Context
Ming Shao, Liangyue Li, Yun Fu

Last modified: 2013-06-29

Abstract


In this paper, we investigate the problem of predicting people's professions under social context. Previous work considering clothing information as well as fore/background context preliminarily proves the feasibility of predicting professions. In this paper, we discuss this problem in a more general case --- multiple people in one photo with arbitrary poses, and argue that with appropriately built partial body features, spatial relations, and background context, more appealing results are achieved by a probabilistic model. We conduct experiments on $14$ representative professions with over $7000$ images, and demonstrate the model's superiority with impressive results.

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