Implement more test cases based on public and user contributed video and image data of elderly falls

[ivelin]

Is your feature request related to a problem? Please describe.
We continuously receive images from users with examples of false positives or missed positives. This is expected iterative process of improvement.

Describe the solution you'd like
We should add to the testsuite examples from publicly available elderly fall videos in order to improve the performance of our fall detection algorithm.

Here is one such dataset.

Additional context
Attached are additional images reported from ambianic users with false positives.

[ivelin]

@bhavikapanara here is again the link to the data samples I extracted for our test suite. These are sequences of image falls of elderly from public video sources.

[ivelin]

@bhavikapanara more user contributed test images. These show the challenges that the MobileNet PoseNet model has detecting people poses from a camera mounted on a ceiling corner looking down towards the door and floor.

[ivelin]

@bhavikapanara
Five public videos of elderly falls to consider for the test suite:

https://www.youtube.com/watch?v=p5i4z3sNaKM
https://www.youtube.com/watch?v=1IsM08Sh_wg
https://www.youtube.com/watch?v=3mDmkOxprN0
https://www.youtube.com/watch?v=0VqvZGhK1o8
https://www.youtube.com/watch?v=Od_RgAP8ojk