People Detection Using Color and Depth Images

  title={People Detection Using Color and Depth Images},
  author={Joaqu{\'i}n Salas and Carlo Tomasi},
We present a strategy that combines color and depth images to detect people in indoor environments. Similarity of image appearance and closeness in 3D position over time yield weights on the edges of a directed graph that we partition greedily into tracklets, sequences of chronologically ordered observations with high edge weights. Each tracklet is assigned the highest score that a Histograms-of-Oriented Gradients (HOG) person detector yields for observations in the tracklet. High-score… CONTINUE READING
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