An Improved Model for Segmentation and Recognition of Fine-Grained Activities with Application to Surgical Training Tasks

Abstract

Automated segmentation and recognition of fine-grained activities is important for enabling new applications in industrial automation, human-robot collaboration, and surgical training. Many existing approaches to activity recognition assume that a video has already been segmented and perform classification using an abstract representation based on spatio… (More)
DOI: 10.1109/WACV.2015.154

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