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270

answers:

2

I have a problem to detect object in images or video frames.

I have a task that is detect some people or something who enter into the sight of web camera, and then my system will be alarm.

Next step is recognize which kind of thing the object is, in this phase I know use Hough transform to detect line, circle, even rectangle. But when a people come into the sight of camera, people's profile is more complex than line, circle and rectangle. How can i recognize the object is people not a car.

I need help to know that. thanks in advance

+7  A: 

I suggest you look at the paper "Histograms of Oriented Gradients for Human Detection" by Dalal and Triggs. They used Histograms of Oriented Gradients to detect humans in images

Amro
oh very good thank you information, I will try my best to read the thesis.
carl
hi Amro can you give me some more information about recognize people and car or animal. I have a assignment to do this.
carl
Amro, could you recommend any implementations? Is original author's code OK? http://pascal.inrialpes.fr/soft/olt/
overrider
A: 

I think one method is to use Bayesian analysis on your image and see how that matches with a database of known images. I believe some people run a wavelet transform to emphasize more noticeable features.

CookieOfFortune
give me more information ok?
carl
-1: This answer is way too general. Bayesian analysis of what, how do you do the match?
kigurai