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feat: reduce false positives when there are multiple persons in view #10

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ivelin opened this issue Feb 6, 2021 · 0 comments
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enhancement New feature or request

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ivelin commented Feb 6, 2021

Is your feature request related to a problem? Please describe.
Users report that fall detection triggers false positives when there are multiple persons in view. See attached screenshots.
This is a known issue for single person PoseNet models.

Describe the solution you'd like
A sophisticated solutions would be to implement multiple person tracking in a sequence of video frames.

An interim practical improvement would be to discard frames with multiple persons. This is a reasonable approach because:

  • Fall detector is critically important for situations when elderly people fall while they are alone and unattended by caregivers.
  • If there are multiple people in a room, then triggering a fall alert is less helpful, because presumably these people can help each other and make emergency calls as needed.

For the interim solution we can use a multi person posenet model and simply discard frames when the model detects multiple persons in a frame. That will avoid potential false fall detections. Testing shows that multi-person posenet models take slightly more CPU time for inference than single person models (2-3 fps vs 3-4 fps on rpi4), which is a reasonable tradeoff since we only need 1fps for fall detection.

Describe alternatives you've considered
A sophisticated solutions would be to implement multiple person tracking in a sequence of video frames. Respectively track and detect falls for each individual person as they move between frames.

Additional context
Screenshots from users with false positives below.

screen_shot_2021-02-05_at_11 36 40_am
screen_shot_2021-02-05_at_11 36 03_am
screen_shot_2021-02-05_at_11 36 54_am

@ivelin ivelin added the enhancement New feature or request label Feb 6, 2021
@ivelin ivelin changed the title reduce false positives when there are multiple persons in view feat: reduce false positives when there are multiple persons in view Feb 6, 2021
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