Richard D. Green

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This paper describes a video analysis system, free of markers and setup procedures, that quantitatively identified gait abnormalities in real time from standard video images. A novel color three-dimensional body model was sized and texture mapped to the exact characteristics of a person from video images. The kinematics of the body model was represented by(More)
RANSAC (Random Sample Consensus) [2] is a popular algorithm in computer vision for fitting a model to data points contaminated with many gross outliers. Traditionally many small hypothesis sets are chosen randomly; these are used to generate models and the model consistent with most data points is selected. Instead we propose that each hypothesis set chosen(More)
Biometric authentication of gait, anthropometric data, human activities and movement disorders are presented in this paper using the Continuous Human Movement Recognition (CHMR) framework introduced in Part I. A novel biometric authentication of anthropometric data is presented based on the realization that no one is average sized in as many as 10(More)
Research into tracking and recognizing human movement has so far been mostly limited to gait or frontal posing. Part I of this paper presents a Continuous Human Movement Recognition (CHMR) framework which forms a basis for the general biometric analysis of continuous human motion as demonstrated through tracking and recognition of hundreds of skills from(More)
Overview • This paper describes BoWSLAM, a scheme for a robot to reliably navigate and map previously unknown environments, in real time, using monocular vision alone. • BoWSLAM can navigate challenging dynamic and self-similar environments and can recover from gross errors. • BoWSLAM is demonstrated mapping a 25-min, 2.5-km trajectory through a challenging(More)
This paper describes a scheme for seamlessly stitching together images captured from an aerial platform, in real-time, in order to provide an operator with a larger field-of-view. Both recent images, and images from earlier in a flight are used. To obtain real-time performance several of the latest computer vision techniques are applied: firstly the(More)
This paper describes a framework for model-based 3D reconstruction of vines and trellising for a robot equipped with stereo cameras and structured light. In each frame, high-level 2D features, and a sparse set of 3D structured light points are found. Detected features are matched to 3D model components, and the g2o optimisation framework is used to estimate(More)
This paper presents a novel texture boundary detector called the standard deviation ridge detector. At 43.29 frames per second, it is one of the few texture boundary detectors that can run in realtime. With its Berkeley segmentation benchmark F-statistic of 0.62, the algorithm outperforms all existing realtime texture boundary detectors. The use of the(More)