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arxiv: 1506.08815 · v1 · pith:2IRJ5MB4 · submitted 2015-06-29 · cs.CV

Tracking Direction of Human Movement - An Efficient Implementation using Skeleton

Merina Kundu , Dhriti Sengupta , Jayati Ghosh Dastidar This is my paper

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classification cs.CV
keywords algorithmhumanmovementdirectionimagespresenceskeletonalert
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Sometimes a simple and fast algorithm is required to detect human presence and movement with a low error rate in a controlled environment for security purposes. Here a light weight algorithm has been presented that generates alert on detection of human presence and its movement towards a certain direction. The algorithm uses fixed angle CCTV camera images taken over time and relies upon skeleton transformation of successive images and calculation of difference in their coordinates.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. SkeletonNet: Shape Pixel to Skeleton Pixel

    cs.CV 2019-07 unverdicted novelty 4.0

    A modified U-Net with HED-inspired decoder side layers and dilation convolution extracts skeletons from object shape pixels and scores 0.77 F1 on competition test data.