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Expert in areas of Computer Vision, Multimedia, Messaging, Networking and others. Focused on embedded software development. Competent in building cross-platform solutions and distributed SW systems.

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Object Recognition (Nike logo)

Posted on : 22-10-2009 | By : Aleksey Kodubets | In : Demo, Demo video, Demo videos, OpenCV, YouTube



This is a demo video of the invariant orientation and scale fast object detection algorithm. The algorithm is a robust in cases when the object is deformed a little 🙂

The algorithm is a cross-platform solution.


  • on ARM11 530MHz, the algorithm gives 1 fps for 640×480 frame;
  • on Intel P4 3Hz, the algorithm gives 12 fps and more for 640×480 frame.

Quality: 86%.

Comments (11)

what algorithm are you using to achieve the result? recognization Rotated NIKE logo is difficult. If not for rotation, haar + adaboost can achieve!

Hi YCat,

You are right, this is a difficult task. This is not haar + adaboost, we rejected Viola-Jones approach since it doesn’t work at all if an object is rotated. Nike-logo detection is original own algorithm. For nike-logo detection we used template matching, key-points matching and other and of course original own heuristics.

it is really a great job

can i get the algorithm that u r using?

Hi Nomi,

Sorry, but we can’t provide you our source code due to our policy.


Hi Alexander, I understand that the source code is confidential, but maybe u can give the (i am assuming) math formula that u guys use?

Hi Nomi

I’m very like your great work.Can I have get more details about the algorithm

Hi Nomi

Is your algorithm is similar to SIFT algorithm?


I would like to know what algorithm is the most adequate to recognize objects, such as holes in the street, or garbage, from photographs picked with a mobile. The object that we want identify is circumscribed with a line.

Thanks in advance,

May I know if your service can be used for enterprise purpose. I mean is your product available for purchase?

Object Recognition is taking pace with time, I agree. I’d request you to kindly elaborate about the implementation of object recognition algorithms for detecting different objects through a web camera.

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