Daniel Clarke

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We describe in this paper our gesture detection and recognition system for the 2014 ChaLearn Looking at People (Track 3: Gesture Recognition) organized by ChaLearn in conjunction with the ECCV 2014 conference. The competition's task was to learn a vacabulary of 20 types of Italian gestures and detect them in sequences. Our system adopts a multi-modality(More)
— This paper deals with recognizing human actions in depth video data. Current state-of-the-art action recognition methods use hand-designed features, which are difficult to produce and time-consuming to extend to new modalities. In this paper, we propose a novel, 3.5D representation of a depth video for action recognition. A 3.5D graph of the depth video(More)
Human Papillomavirus (HPV)-induced diseases are a significant burden on our healthcare system and current therapies are not curative. Vaccination provides significant prophylactic protection but effective therapeutic treatments will still be required. RNA interference (RNAi) has great promise in providing highly specific therapies for all HPV diseases yet(More)
—Precise and accurate localization is important for safe autonomous driving. Given a traffic scenario with multiple vehicles equipped with proprioceptive sensors for self-localization and infrastructure equipped with exteroceptive sensors for car detection, vehicle-infrastructure communication can be used to improve the localization. However as the number(More)