Hi,

Francois LE COAT writes:
>>> Here is another example of drone in the forest, outside from France:
>>>
>>> <https://www.youtube.com/watch?v=BO_OUFHFzTY> Forest
>>>
>>> We also obtained the trajectory in the X-Z plane, of the flight:
>>>
>>> <https://sketchfab.com/3d-models/forest-e253ebd61e2a4bd6abcd21ac56f25
bae> 
>>>
>>>
>>> These are filtered measurements and it's not ideal computer graphics.

>>
>> Here is a sequence of images of a ballad in the forest. This scene
>> is observed by a tracking drone...
>>

>>
>> The camera's movement is estimated in the images using a projective
>> dominant motion measurement. The presence of a man in the image sequen
ce
>> does not interfere with trajectory estimation, because the character
>> occupies a position in the field of vision that is not dominant. The
>> dominant motion corresponds to the scrolling of the scenery, that is
>> the movement of the forest relative to an observing camera.
> 
> Here is a drone in the forest...
> 
> <https://www.youtube.com/watch?v=h3vhlRBB9tg> Forest
> 
> We also obtain the trajectory in space: <https://skfb.ly/pxGqL>
> 
> It's interesting to note that this trajectory loops. That is to say,
> the drone passes over the professional pilot's location, and is in
> the same place at the end of the video.
> 
> This proves the quality of the trajectory estimation in space. :-)

Here's a long drone flight through a Swedish forest...

<https://www.youtube.com/watch?v=ppW5BbDPFHc> Swedish forest

We obtain the estimated trajectory in space: <https://skfb.ly/pxZHy>

The image matching algorithm doesn't incorporate any prior knowledge
about what the camera is observing. This might look like a SLAM
(Simultaneous Localization And Mapping) method, which is a sparse
method, but what is presented is a global and dense method based
on optical-flow measurement (Dense Inverse Search - DIS).

This is an algorithm, i.e. a numerical recipe, that does not use
artificial neural networks. We obtain a filtered measurement (by
a Kalman filter) of physical data.

Best regards,

-- 

<https://eureka.atari.org/>

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