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arXiv · 1509.03242

Gibbs Sampling Strategies for Semantic Perception of Streaming Video Data

Yogesh Girdhar·Gregory Dudek
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Abstract

Topic modeling of streaming sensor data can be used for high level perception of the environment by a mobile robot. In this paper we compare various Gibbs sampling strategies for topic modeling of streaming spatiotemporal data, such as video captured by a mobile robot. Compared to previous work on online topic modeling, such as o-LDA and incremental LDA, we show that the proposed technique results in lower online and final perplexity, given the realtime constraints.

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Yogesh Girdhar, Gregory Dudek. 2015-09-10. Gibbs Sampling Strategies for Semantic Perception of Streaming Video Data. https://arxiv.org/abs/1509.03242

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