Ghost is a real time system for estimating human body posture and detecting body parts in monochromatic imagery. It constructs a silhouette based body model to determine the location of the body parts while people are in generic postures. It combines hierarchical body pose estimation, a convex hull analysis of the silhouette, and a partial mapping from the body parts to the silhouette segments ...

This paper addresses the problem of finding body parts in images, which can be an essential first step for body pose estimation. The core component of the presented method is the pixel-based classification of body parts using Random Forests. This technique is applied to find the body part positions of soccer players in broadcast images. As this approach is usually used with depth data, we analy...

The question of how we experience ownership of an entire body distinct from the external world is a fundamental problem in psychology and neuroscience [1-6]. Earlier studies suggest that integration of visual, tactile, and proprioceptive information in multisensory areas [7-11] mediates self-attribution of single limbs. However, it is still unknown how ownership of individual body parts transla...

A series of supersonic wind tunnel tests on an ogive-cylinder body were performed to investigate the pressure distribution, the boundary layer profiles, and the flow visualization at various angles of attack. All tests were conducted in the trisonic wind tunnel of the Imam Hossein University. The theoretical shock angle at different model positions compared well with those we obtained via Schi...

The uniqueness effects in definite noun phrases have been the subject of much debate (Heim 1983, Kadmon 1990, Roberts 2003, Szabó 2000). Some claim uniqueness is part of the semantics of the definite article, while others derive it pragmatically. Both sides assume that the uniqueness condition is binary, and so the only thing that matters is whether the number of equally salient candidates is o...

This paper addresses the problem of human pose estimation, given images taken from multiple dynamic but calibrated cameras. We consider solving this task using a part-based model and focus on the part appearance component of such a model. We use a random forest classifier to capture the variation in appearance of body parts in 2D images. The result of these 2D part detectors are then aggregated...

Like faces, body postures are susceptible to an inversion effect in untrained viewers. The inversion effect may be indicative of configural processing, but what kind of configural processing is used for the recognition of body postures must be specified. The information available in the body stimulus was manipulated. The presence and magnitude of inversion effects were compared for body parts, ...

The purpose of this study was to examine the sequence in which body parts are learned and can be identified by very young children. The 101 children tested were divided into four age groups: 1-year-olds, 2-year-olds, 3-year-olds, and 4-year-olds. The children were requested to point to 20 body parts on a doll. Analysis of the results indicated significant differences in the ability to identify ...

This paper presents a framework for multiple body part tracking based on a probabilistic data association (DA) filter. The body parts are extracted using iterative cluster background subtraction and foreground modeling with pictorial structures. The background subtracted silhouette is cluttered and the body parts are subject to occlusions. The main novelty of the paper is in the effective solut...

A method for temporally integrating appearance-based body-part labelling is presented. We begin by modifying the silhouette labelling method of Ghost[4]; that system first determines which posture best describes the person currently and then uses posture-specific heuristics to generate labels for head, hands, and feet. Our approach is to assign a posture probability and then estimate body part ...