Masters Degrees (Applied Mathematics)

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Browsing Masters Degrees (Applied Mathematics) by Author "Du Toit, Carlo"

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    Tracking with context
    (Stellenbosch : Stellenbosch University, 2016-12-01) Du Toit, Carlo; Hoffmann, McElory R.; Herbst, B. M.; Stellenbosch University. Faculty of Science. Dept. of Mathematical Sciences (Applied Mathematics)
    ENGLISH ABSTRACT : Tracking in an unconstrained environment presents a difficult challenge. Abrupt object motion, appearance changes, non-rigid objects and occlusion are but a few of the trials faced. To overcome these challenges a tracking algorithm, often an unsupervised learning problem, should be fast and capable of on-the-fly modelling. A huge variability in the range of input observation data is to be expected. Generative tracking models are good with dealing with unsupervised learning, but not always trustworthy without good verification, which leads to drifting. In this thesis we investigate the effectiveness of integrating knowledge (context) into the tracking model and to provide verification to generative models, improving the drifting problem and trustworthiness of the model. To accomplish this we implement a model based on what we learn from other context aware implementations. Our model is context flexible, capable of integrating any existing object detector, providing the model with valuable knowledge. Experimentation shows it is capable of integrating with any target tracker, and provides valuable assistance in the form of verification. When the target undergoes aggressive appearance changes, gets fully occluded or even leave the field of view, our model is capable of tracking the target successfully until the main tracker can resume its task. Context is not only there to serve the main target tracker, but also to improve learning of the model itself. We use the model to minimise the possibility of a miss-match during training itself, providing increased certainty.