How to achieve object segregation using OpenCV

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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?

Posted 29-Mar-14 21:21pm

suramrit

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User 59241 · Accepted Answer · 2014-03-29T22:04:00

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.
http://lear.inrialpes.fr/people/triggs/pubs/Dalal-cvpr05.pdf[^]

This is a good tutorial to begin with:
http://chrisjmccormick.wordpress.com/2013/05/09/hog-person-detector-tutorial/[^]

OpenCV ref:
http://docs.opencv.org/modules/gpu/doc/object_detection.html[^]