Overett, Gary Mark
This thesis considers the detection of humans and road signs in video with significant ego-motion. The aim is to work towards an automated vision system for real-time and low-latency detection of target objects from a vehicle moving at normal road speeds. Therefore, a strong emphasis is placed on both classifier robustness and the associated time-to-decision. A cascade of classifiers trained using the popular boosting algorithm, RealBoost, is adopted as the baseline system for our research,...[Show more]
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