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The development of three dimensional (3D) scan technologies makes the anthropometric measurement more efficient and accurate. These markers on human hand are used to facilitate data collection and measurement. An approach of dimension extraction from three dimensional (3D) hand data without prior manual landmarking was proposed in this paper. This is accomplished by developing soft package under the...
The methods presented in this paper aim at detecting and recognizing players on a sport-field, based on a distributed set of loosely synchronized cameras. Detection assumes player verticality, and sums the cumulative projection of the multiple views' foreground activity masks on a set of planes that are parallel to the ground plane. After summation, large projection values indicate the position of...
In this paper, we present a novel framework to recover human body pose on multi camera systems. Our framework leverages 3D voxel data, which are reconstructed from multi-camera systems. The use of voxel data leads to viewpoint-free estimation, which benefits in that reconstruction of a training model is needless in different multi-camera arrangements. Other notable aspects of our approach are real-time...
A video activity analysis is presented based on 3D wavelet transform. Marginal and joint statistics as well as mutual information estimates are extracted. Marginal histograms are approximated by generalized Gaussian density (GGD) functions. The mutual information between coefficients -as a quantitative estimate of joint statistics- decreases when the activity in the video increases. The relationship...
Feature extraction is the basis of processing human motion data correctly. In this paper, a new extraction method based on 3D features is proposed. Space transformations on time axis of each human joint are extracted, which describe 3D relationships of each joint and represent a part of the whole motion independently. So completely motion features are computed by merging these features. Experiment...
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