Luise Krumbein: Difference between revisions

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''(rethinking titel)''
We perceive things that move, they trigger our attention and curiosity. We immediately perceive them as living matter. Though, when there is a sudden noise, we prick up our ears.


Combining these two expressive triggers, can lead to an alarming outcome, though this project aims to visualise a living organism, which can be only seen when moving and is captured by sound. Finger snapping, hand clapping, whistling, drumming, hitting, screaming, stamping, clanging, etc., are wether visible or not in the image. The sequence of the single snapshots are shown in a soundless video. As a result, the brain interprets the new sequence differently from the original webcam video and new movements are seen.
== Motion ==


Humans are able to perceive movement by motion perception. Our world consists of movement, of changes in spatial references. Motion perception accompanies us in everyday life and is important for finding our way in the world. However, we see not only real movement, but also apparent movement. Apparent movement is the perception of movement in objects that are not really moving in the physical sense. It refers to the stroboscopic movement, which is the perception of movement when viewing a sequence of slightly varied individual images.


This setup encourages to move in front of the camera, to show an emotion, to make a sound, to speak out loud.


''Next step: going outside, capturing people/cars/objects/animals/plants which move and caught by random sounds of the location.'' 
[[File:Keep Moving.jpg|800px]]
 
 
Video manipulating in real-time, 3min
 
Things that move trigger our attention and curiosity. We immediately perceive them as living matter. Something that does not move from time to time is quickly perceived as dead. How is our environment shaped? Is it alive, livable, boring? Are cars living organisms?
 
Video recordings of public places are made at various locations in Weimar using a laptop and its webcam. The video is embedded in Max/MSP, which manipulated the recordings in real-time. The setup filters out everything that doesn't move. Things that do move become visible. The top right calculates the difference between the frames of the video. Therefore it filters the non-moving objects and highlights changes in the video feed. The bottom left takes snapshots, triggered by loud noises. A resulting video is displayed at the bottom right, a sequence of images created from the individual snapshots captured by sound.
 
{{#ev:vimeo|572240468}}
 
<gallery>
File:Theater.png
File:Ilmpark.png
File:Koriat.png
File:Wieland.png
</gallery>
 
 


Please find in process the patch of my previous project idea regarding the pulse.


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Technical Solution
'''Technical Solution'''


Please find here the patch  [[:File:210616_Keep Moving.maxpat]]
Please find here the patch  [[:File:210616_Keep Moving.maxpat]]
[[File:Screenshot 2021-06-17 at 00.05.59.png|800px]]
[[File:Screenshot 2021-06-17 at 00.05.59.png|800px]]


For motion tracking the object jit.rgb2luma is often used to identify an moving object. This command caught my attention. By jit.unpack and jit.pack the color get changed in and bright yellow for the background, and bright red for the moving object. The trigger of the microphone is set very low to take a snapshot. Even a big bite into an apple can set it off.  
The lower display window shows the entire webcam video. The upper window shows the current snapshot until the next one is taken. For motion tracking, ''jit.rgb2luma'' is often used to identify an moving object. This command caught my attention. By ''jit.unpack'' and ''jit.pack'' the color get changed in and bright yellow for the background and bright red for the moving object. The trigger of the microphone is set very low to take a snapshot. Even a big bite into an apple can set it off.  
 
 


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== DOCUMENTATION ==
'''Documentation'''


[[/Process/]]
[[/Process/]]

Latest revision as of 20:24, 13 July 2021

Motion

Keep Moving.jpg


Video manipulating in real-time, 3min

Things that move trigger our attention and curiosity. We immediately perceive them as living matter. Something that does not move from time to time is quickly perceived as dead. How is our environment shaped? Is it alive, livable, boring? Are cars living organisms?

Video recordings of public places are made at various locations in Weimar using a laptop and its webcam. The video is embedded in Max/MSP, which manipulated the recordings in real-time. The setup filters out everything that doesn't move. Things that do move become visible. The top right calculates the difference between the frames of the video. Therefore it filters the non-moving objects and highlights changes in the video feed. The bottom left takes snapshots, triggered by loud noises. A resulting video is displayed at the bottom right, a sequence of images created from the individual snapshots captured by sound.




Technical Solution

Please find here the patch File:210616_Keep Moving.maxpat

Screenshot 2021-06-17 at 00.05.59.png

The lower display window shows the entire webcam video. The upper window shows the current snapshot until the next one is taken. For motion tracking, jit.rgb2luma is often used to identify an moving object. This command caught my attention. By jit.unpack and jit.pack the color get changed in and bright yellow for the background and bright red for the moving object. The trigger of the microphone is set very low to take a snapshot. Even a big bite into an apple can set it off.


Documentation

Process

References

Tutorials