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๐Ÿ‘จ๐Ÿป To identify key regions of productivity based on Facial Recognition, People Counting and Duration (the time spent inside the designated regions) by @sulaihasubi

License: The Unlicense

Python 100.00%
opencv opencv-python python computer-vision

person-detection-and-counting's Introduction

Face Recognition, People Counting and People Duration

To identify key regions of productivity based on Facial Recognition, People Counting and Duration (the time spent inside the designated regions)

wakatime Last commit

Clone this Repository

  1. Open Terminal.

  2. Change the current working directory to the location where you want the cloned directory.

  3. Type bash git clone, and then paste the copied URL below.

$ git clone https://github.com/sulaihasubi/Person-Detection-and-Counting

Result

  1. Face Recognition, count people based on the number of individuals detected. Alt Text

  2. Count the dwell time for each of detected person Alt Text

References

  1. Link to Video Analysis
  2. Read about Video Analysis
  3. Export Video
  4. Calculating video duration
  5. How to use Kalman Filter
  6. Counting Frames OpenCV
  7. Get duration of video frames divided by fps
  8. Counting people in and out using bolb

person-detection-and-counting's People

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