High level activity recognition using low resolution wearable vision

Abstract

This paper presents a system aimed to serve as the enabling platform for a wearable assistant. The method observes manipulations from a wearable camera and classifies activities from roughly stabilized low resolution images (160 × 120 pixels) with the help of a 3-level Dynamic Bayesian Network and adapted temporal templates. Our motivation is to explore… (More)
DOI: 10.1109/CVPRW.2009.5204355

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