It is well recognised that data association is critically important for object tracking. However, in the presence of successive misdetections, a large number of false candidates and an unknown number of abrupt model s...
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This paper addresses a specific multi-aspect target detection and tracking problem where the dynamics of the target's aspect is modeled by an affine model following a first-order Markov process. We are interested ...
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We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D location and appearance of visual featur...
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In vision-based autonomous spacecraft docking multiple views of scene structure captured with the same camera and scene geometry is available under different lighting conditions. These "multiple-exposure" im...
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We propose human action detection based on a successive convex matching scheme. Human actions are represented as sequences of postures and specific actions are detected in video by matching the time-coupled posture se...
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Recently, there has been a flurry of research on face recognition based on multiple images or shots from either a video sequence or an image set. This paper is also such an attempt in multiple-shot face recognition. S...
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Traditional stereo correspondence algorithms rely heavily on the Lambertian model of diffuse reflectance. While this diffuse assumption is generally valid for much of an image, processing of regions that contain specu...
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Recent years have seen an increasing number of computervision applications focusing on humans as their objects of interest. Such applications include video surveillance, domotics, multimedia semantic annotation and i...
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We investigate to what extent 'bag of visual words' models can be used to distinguish categories which have significant visual similarity. To this end we develop and optimize a nearest neighbour classifier arc...
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Simultaneous localisation and mapping using a single camera becomes difficult when erratic motions violate predictive motion models. This problem needs to be addressed when visual SLAM algorithms are transferred from ...
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