We present a system for the estimation of unconstrained
3D human upper body movement from multiple cameras.
Its main novelty lies in the integration of three components:
single-...
In this paper we present a system for classifying various human actions in compressed domain video framework. We introduce the notion of quantifying the motion involved, through w...
We investigate the biologically inspired features (BIF) for human age estimation from faces. As in previous bioinspired models, a pyramid of Gabor filters are used at all positio...
In this paper, we tackle robust human pose recognition using unlabelled markers obtained from an optical marker-based motion capture system. A coarse-to-fine fast pose matching al...
Abstract. This paper presents a novel approach to implement estimation and recognition of human motion from uncalibrated monocular video sequences. As it is difficult to find a go...