Human Posture Recognition: Methodology and Implementation

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...

Human Posture Recognition from an Eigenspace

This paper addresses a novel approach to recognizing several humans' postures from just a single eigenspace and investigates a practical problem associated with dress changes in recognizing human postures automatically employing an eigenspace technique. A single eigenspace is prepared employing an ordinary man’s several orientations and various humans' postures are recognized from it. The dress...

Human Posture Recognition Using Curve Segments for

This paper presents a human posture recognition method from a single image. We rst segment an image into homogeneous regions and extract curve segments corresponding to human body parts. Each body part is considered as a 2D ribbon. From the smooth curve segments in skin regions, 2D ribbons are extracted and a human body model is constructed. We assign a predeened posture type to the image accor...

Human Posture Recognition in Video Sequence

This paper presents a new approach to recognize human postures in video sequences comparing two methods. We first describe these two methods based on 2D appearances. The first one uses projections of moving pixels on the reference axis. The second method decomposes the human silhouette into blocks and learns 2D posture appearances through PCA. Then we use 3D model of posture to make the previou...