Human detection under occlusion is a challenging problem in computer vision. We address this problem through a framework which integrates face detection and person detection. We ...
William Robson Schwartz, Raghuraman Gopalan, Rama ...
In this paper, we propose an algorithm for sustained tracking of humans, where we combine frame-to-frame articulated motion estimation with a per-frame body detection algorithm. T...
In this paper, we propose a lexicon-driven and ontologymerging methodology of constructing diachronic domain knowledge via Sinica BOW, a bilingual ontological lexical resource bas...
The ability to model changes in preferences is crucially important for sound decision making and effective communication. Much has been written about strategies for changing belie...
Abstract. Infection by high-risk human papillomaviruses (HPVs) is associated with the development of cervical cancers. Classification of risk types is important to understand the ...