Human Body Posture Recognition Approaches

Human Body Posture Recognition Using MPEG-7 Descriptors

This paper presents a novel approach to human body posture recognition based on the MPEG-7 contour-based shape descriptor and the widely used projection histogram. A combination of them was used to recognize the main posture and the view of a human based on the binary object mask obtained by the segmentation process. The recognition is treated as a typical pattern recognition task and is carrie...

Human Body Posture via Hierarchical Evolutionary Optimization

This paper presents an evolutionary approach to estimating upper-body posture from multi-view markerless sequences. We fit a 24-dof skeleton model to sparse 3-D stereo data from an array of cameras. We use a particle swarm optimization algorithm which is intrinsically parallel, can incorporate constraints and does not require motion models. We subdivide the high-dimensional search space based o...

Human Body Posture Inference for Immersive Interaction

In this paper we present an approach for inferring the body posture from a 3D visual-hull representation. We present an appearancebased, view-independent, 3D shape description for classifying and identifying human posture using a support vector machine. The proposed global representation allows a robust description of shape that accommodates for variation of the shape of the human body across m...

A Biologically Inspired Human Posture Recognition System

Posture Recognition with a 3D Human Model

This paper proposes an approach to recognise human postures in video sequences, which combines a 2D approach with a 3D human model. The 2D approach consists in projections of moving pixels on the reference axis. The 3D model is a realistic articulated human model which is used to obtain reference postures to compare with test postures. We are interested in a set of specific postures which are r...