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I have started working on a visual identification system to identify a person and extract features from a captured video.
For the initial step, I require to segregate and isolate the targeted subject from the image(frame) background and create a binary silhouette(outline) of the person.
The background can be chosen as I like, which would reduce noise to some extend.
I tried to apply canny algorithm in OpenCV but the outline achieved is not continuous and if I apply a floodfill to the within the boundary a silhouette is not achieved.
Can anyone suggest a method in OpenCV using which I may achieve an approximate outline of the person?

1 solution

Simple outline detection will not be sufficient. You need to use classifier techniques. There are many and I will point you to HOG. Identification of individuals is another problem.

A paper on the theory of HOG detection is here and even if you cannot understand it all will give you some ideas.[^]

This is a good tutorial to begin with:[^]

OpenCV ref:[^]
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nv3 30-Mar-14 5:03am    
Good advice. 5.
suramrit 30-Mar-14 5:15am    
Thank you

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