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So there it is, I want to get a camera video stream from a server, and be able to know how many people appear on it.
I can install any OS (MAC, Windows, Linux) on my server, use any API (free or paid) and any language (C++, php etc.) to do so.
I already found some interesting things, such as OpenCV but I think it's more useful for face recognizing than to know the number of people in a room...
Any help would be appreciated :)
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The results showed that 69 % people view video with sound off in public places and 25 % watch with sound off on private places.
A recent study found that 91% of respondents said they had used closed captions while watching TV, and that it had a positive impact on their viewing experience.
Combined ADHD is when a person has symptoms of inattention, hyperactivity, and impulsivity. Individuals with all these manifestations often see a closed captions benefit, especially in television or movies that require a longer focus on a narrative or lesson.
This suggests that 80% of television viewers used closed captions for reasons other than hearing loss, and that closed captions benefit many more than just those who require them for accessibility.
Use a human detector applied on each frame for basic statistic exports:
OpenCV has one already:
http://docs.opencv.org/doc/tutorials/objdetect/cascade_classifier/cascade_classifier.html
All you have to do is replace the face model with a human body (_fullbody.xml):
https://github.com/Itseez/opencv/tree/master/data/haarcascades
You can now export some statistics such as how many people per frame there are. To find how many unique individuals appeared in a sequence, you'll need a tracker. From there things get more difficult. You'll have to find something that suits your case. Tip: google for "multi-target tracking code" or similar.
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