<video><caption><image_124>The image shows a man standing in front of a green chalkboard and writing on it. He is wearing a blue t-shirt and appears to be writing on the chalkboard with a marker. The text on the blackboard is written in white chalk and is in different fonts and sizes. The title of the image is "Features" and it is written at the top of the board. Below the title, there is a list of features mentioned in the text. 

The list includes:

1) Natural features
2) Extract & maintain from natural features
3) Remove moving objects from a relationship law
4) Artificial features
5) Reliability law
6) Trivial law

There is also a logo on the bottom right corner of the screen that reads "Trial law".</caption><caption><image_125>The image shows a man standing in front of a green chalkboard in a classroom. He is wearing a blue t-shirt and appears to be writing on the chalkboard with a pen. The chalkboard has a list of natural features written on it in white chalk. The list includes:

1) Natural features - hard computer viruses
2) Extract & maintain from natural scenes
3) Remove moving objects from scene
4) Reliability law
5) Social features - trivial computer vision

The man is looking down at the board with a serious expression on his face.</caption></video><transcript><audio_126>and i would call this instead of hard computer vision i would call this um because most of it boils down to</transcript><transcript><audio_127>something called blob detection as far as the vision part right you're not doing very much work other than on trying to identify markers that you've put into the environment so it boils down to some kind of blob detection or variations of</transcript><transcript><audio_128>that whatever patterns you've decided to put into the environment you just have to go and quickly scan those back out of an image so you're not really doing the type of computer vision research that would make your computer vision professors proud let's say right this is more like um</transcript><video><caption><image_129>The image shows a man standing in front of a blackboard in a classroom. He is wearing a blue t-shirt and is holding a white paper in his hand. On the blackboard, there is a list of features written in white chalk. The list includes:

- Natural features - hard computers
- Extract a mountain from a mountain
- Remove moving objects
- Reliability low
- Features - trivial computer vision

The man appears to be giving a presentation or lecture. He has short dark hair and is looking off to the side with a serious expression on his face.</caption><caption><image_130>The image shows a man standing in front of a green chalkboard with white text written on it. He is wearing a blue t-shirt with a logo on it and appears to be giving a presentation. The text on the chalkboard reads "1) Natural features - hard computer - Extract & mountain from new - Remove moving objects - Reliability low - Reliable low - Trivial computer vision". The man is gesturing with his hands as he speaks.</caption></video><transcript><audio_131>vision in 1971 or something you know computer vision you know challenges of that era let's say so so just simply pulling blobs out of an image but you've designed it so that you have um</transcript> and i would call this instead of hard computer vision i would call this um because most of it boils down to something called blob detection as far as the vision part right you're not doing very much work other than on trying to identify markers that you've put into the environment so it boils down to some kind of blob detection or variations of that whatever patterns you've decided to put into the environment you just have to go and quickly scan those back out of an image so you're not really doing the type of computer vision research that would make your computer vision professors proud let's say right this is more like um vision in 1971 or something you know computer vision you know challenges of that era let's say so so just simply pulling blobs out of an image but you've designed it so that you have um
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