Detect a human figure in a live video

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Milindu
Milindu am 27 Mai 2012
I am new to matalb,I want to detect a moving human figure in live video feed, this human figure can be in different poses. Can anyone give me some advice on how to detect the human figure after detecting its(human figure) motion.
Thanks,
  3 Kommentare
Milindu
Milindu am 29 Mai 2012
Gait recognition is based on most of the human detection system, still it seems that it has many flows, I'm still searching. If anyone has more info on gait recognition.
Image Analyst
Image Analyst am 29 Mai 2012
There is information on gait analysis in the Iris USC bibliography I gave you below. See section "16.7.4.5 Walking, Gait Recognition, Gait Analysis". But you're going to have to do a LOT of work on that complicated subject. It's nothing where we can give you a hundred lines of code and you're all set.

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Antworten (5)

Stephen
Stephen am 29 Mai 2012
if the camera is static, take a blank image and subtract it from the live feed to get a rough idea of what pixel values have changed. maybe division would handle different daylight conditions better. anyway, once you have something moving or different about the picture, you can do a medial transform of the shape to see how 'stick figure'-like it is. good luck

Image Analyst
Image Analyst am 27 Mai 2012
  2 Kommentare
Image Analyst
Image Analyst am 29 Mai 2012
Then you need to look up algorithms listed in section 16 or 18 here: http://iris.usc.edu/Vision-Notes/bibliography/contents.html
Image Analyst
Image Analyst am 25 Jul. 2012
There is a conference next month with sessions on gait analysis if you're interested: http://hhp.ufl.edu/apk/ces/ASB2012/2012%20ASB%20conference%20program%20schedule.htm

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Walter Roberson
Walter Roberson am 29 Mai 2012
Gait recognition is not sufficient for your purpose. Consider people on crutches, people in wheelchairs, people on unicycles, bicycles, or tricycles. Some of the robots being built in Japan apparently have quite good bipedal motion and look quite realistic, but those are not human.
Recognizing leg length accurately in order to calculate proportions in order to distinguish humans from other primates (e.g., gorillas) is difficult when one considers skirts, dresses, and long winter coats. The proportions in humans vary considerably -- consider for example dwarfism. Even without disorders such as that, if you take a male human and a female human of the same height, the female will statistically have longer legs. And I know that my proportions are at least two standard deviations from the mean.
For the purpose of this project, are you restricting "human" to Homo sapiens sapiens, or are you including Homo neanderthalensis, Homo habilis, and so on?

Milindu
Milindu am 28 Mai 2012
Tnx
There are many information on tracking in there but i can not find any information on how to detect a human figure, Actually human figure can have different posses, but if i take a walking human the legs are always changing in a certain way can i take this action into consideration and deduce because of the motion part it is a human.
  2 Kommentare
Image Analyst
Image Analyst am 29 Mai 2012
See my comment I added to my answer. By the way, this post of yours is not an "Answer" to your question - it should have been added as a comment on my Answer, so that's why I answered this up there instead of here.
Milindu
Milindu am 29 Mai 2012
my bad

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Geoff
Geoff am 29 Mai 2012
Employ a 2 year-old child to sit in front of the screen and "point at the person".
This solution is 100% accurate with absolutely no mathematics required. It works with occlusion, non-static background, non-static camera, image noise, poor lighting, and multiple targets.
That's how frustrating Computer Vision is!!!
  9 Kommentare
Geoff
Geoff am 31 Mai 2012
If this is for a 24/7 system, be aware that 2 year-old humans don't have reliable up-time.
Walter Roberson
Walter Roberson am 31 Mai 2012
And if you have a 2-year old human riding a cow, such as are shown in this security snapshot provided by "nomad nomad" ? http://www.casimages.com/img.php?i=120531055451175771.png

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