We describe a probabilistic framework for recognizing human activities in monocular video based on simple silhouette observations in this paper. The methodology combines kernel pr...
This paper presents a novel method for reconstructing a 3D human body pose from stereo image sequences based on a top-down learning method. However, it is inefficient to build a ...
In this paper we present a user-centered design process for Active Capture systems. These systems bring together techniques from human-human direction practice, multimedia signal ...
In this paper we introduce an effective method to construct a global spatio-temporal representation for action recognition. This representation is inspired by the fact that human ...
We present a novel system for gait recognition. Identity recognition and verification are based on the matching of linearly timenormalized gait walking cycles. A novel feature ext...
Nikolaos V. Boulgouris, Konstantinos N. Platanioti...