Detect a human figure in a live video
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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 Comments
Image Analyst
on 29 May 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.
Answers (5)
Stephen
on 29 May 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
0 Comments
Image Analyst
on 27 May 2012
Search the File Exchange for "tracking" or see this Mathworks webinar: http://www.mathworks.com/matlabcentral/fileexchange/35646-march-2012-demo-files-for-computer-vision-with-matlab
2 Comments
Image Analyst
on 29 May 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
on 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
Walter Roberson
on 29 May 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?
0 Comments
Milindu
on 28 May 2012
2 Comments
Image Analyst
on 29 May 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.
Geoff
on 29 May 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 Comments
Geoff
on 31 May 2012
If this is for a 24/7 system, be aware that 2 year-old humans don't have reliable up-time.
Walter Roberson
on 31 May 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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