RASKIN, RUDZSKY, RIVLIN: BODY-PART TRACKING AND ACTION CLASSIFICATION 1 3D Human Body-Part Tracking and Action Classification Using a Hierarchical Body Model

Dimensionality Reduction for 3d Articulated Body Tracking and Human Action Analysis

3D Human Body-Part Tracking and Action Classification Using A Hierarchical Body Model

Human body pose tracking is a challenging task for several reasons. The large variety of poses and high dimensionality of the human model complicates the examination of the entire subject and makes it harder to detect each body part separately. However, the poses can be presented in a low dimensional space using the dimensionality reduction techniques. Such a reduction improves the trackers rob...

Analysis and Synthesis of Facial Expressions by Feature-Points Tracking and Deformable Model

Face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. In this paper we develop a facial expressions analysis and synthesis system. The analysis part of the system is based on the facial features extracted from facial feature points (FFP) in frontal image sequences. Selected facial feature poi...

3D Motion prediction of human upper body by tracking reflective markers on a moving body

Measurement of human motion is widely required for various applications, and a significant part of this task is to identify motion in the process of human motion recognition. There are several application purposes of doing this research such as in surveillance, entertainment, medical treatment and traffic applications as user interfaces that require the recognition of different parts of human b...

Evaluation of a Hierarchical Partitioned Particle Filter with Action Primitives

We introduce the Hierarchical Partitioned Particle Filter (HPPF) designed specifically for articulated human tracking. The HPPF is motivated by the hierarchical dependency between the human body parameters and the partial independence between certain of those parameters. The tracking is model based and follows the analysis by synthesis principle. The limited information of the video sequence is...