Tracking Direction of Human Movement - An Efficient Implementation using Skeleton
classification
💻 cs.CV
keywords
algorithmhumanmovementdirectionimagespresenceskeletonalert
read the original abstract
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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Forward citations
Cited by 1 Pith paper
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SkeletonNet: Shape Pixel to Skeleton Pixel
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.
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