Recognizing activities based on an actor’s interaction with everyday objects is an important research approach within ubiquitous computing. We present a recognition approach whic...
Dipak Surie, Fabien Lagriffoul, Thomas Pederson, D...
Illumination invariance remains the most researched, yet the most challenging aspect of automatic face recognition. In this paper we propose a novel, general recognition framework...
Speech recognition has become common in many application domains, from dictation systems for professional practices to vocal user interfaces for people with disabilities or hands-...
Sabato Marco Siniscalchi, Fulvio Gennaro, Salvator...
We present a novel human body gesture recognition method using a linear programming based matching scheme. Instead of attempting to segment an object from the background, we develo...
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...