HMM-Based Action Recognition Using Contour Histograms

This paper describes an experimental study about a robust contour feature (shape-context) for using in action recognition based on continuous hidden Markov models (HMM). We ran different experimental setting using the KTH’s database of actions. The image contours are extracted using a standard algorithm. The shape-context feature vector is build from of histogram of a set of non-overlapping regions in the image. We show that the combined use of HMM and this feature gives equivalent o better results, in term of action detection, that current approaches in the literature.

• Type: Conference
• Year: 2007
• Where: IBPRIA
• Authors: Maria Ángeles Mendoza, Nicolas Pérez de la Blanca
• Keywords: Continuous Hidden Markov, IBPRIA 2007, Image, Image Analysis, Robust Contour Feature, We Ran