Individual detection-tracking-recognition using depth activity images


In this paper, a depth camera-based novel approach for human activity recognition is presented using robust depth silhouettes context features and advanced Hidden Markov Models (HMMs). During HAR framework, at first, depth maps are processed to identify human silhouettes from noisy background by considering frame differentiation constraints of human body… (More)
DOI: 10.1109/URAI.2015.7358903


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