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Crowd tracking and visualizing. Directions, speeds, positions will be detected.

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chuzcjoe/crowd-tracking-and-visualizing-from-top-view

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crowd-tracking-and-visualizing-from-top-view

optical flow is used for moving object detection in the video shot by a drone camera.

requirements:

  1. numpy
  2. opencv3
  3. math
  4. seaborn
  5. heatmap
  6. matplotlib
  7. scipy

For each frame, each object's moving direction, speed, number of people in the surrounding areas could be calculated and visualized

image image

We use speed, people counts and direction to define the Turbulence level for each extracted frame. image

Pressure Map for showing the geospatial distribution of the pressure value. image image
Moreover, individual tracking is added and individual pressure is measured. image image

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Crowd tracking and visualizing. Directions, speeds, positions will be detected.

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