• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Recognizing Actions from Different Views by Topic Transfer

Vol. 11, No.4, April 30, 2017
10.3837/tiis.2017.04.015, Download Paper (Free):

Abstract

In this paper, we describe a novel method for recognizing human actions from different views via view knowledge transfer. Our approach is characterized by two aspects: 1) We propose a unsupervised topic transfer model (TTM) to model two view-dependent vocabularies, where the original bag of visual words (BoVW) representation can be transferred into a bag of topics (BoT) representation. The higher-level BoT features, which can be shared across views, can connect action models for different views. 2) Our features make it possible to obtain a discriminative model of action under one view and categorize actions in another view. We tested our approach on the IXMAS data set, and the results are promising, given such a simple approach. In addition, we also demonstrate a supervised topic transfer model (STTM), which can combine transfer feature learning and discriminative classifier learning into one framework.


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Cite this article

[IEEE Style]
Jia Liu, "Recognizing Actions from Different Views by Topic Transfer," KSII Transactions on Internet and Information Systems, vol. 11, no. 4, pp. 2093-2108, 2017. DOI: 10.3837/tiis.2017.04.015

[ACM Style]
Liu, J. 2017. Recognizing Actions from Different Views by Topic Transfer. KSII Transactions on Internet and Information Systems, 11, 4, (2017), 2093-2108. DOI: 10.3837/tiis.2017.04.015