I exploit possibly SURF or SIFT rather (by now advised by @stacker) to reacquire the object if it had been shed with the tracker. The tracker's feedback can make it straightforward to construct with time a dynamic list of sift/surf templates that with time permit reacquiring the object with really significant precision.

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How can I improve my distinct algorithm, making use of completely OpenCV functions, to take care of the four particular concerns mentioned?

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Please take a look at Zdenek Kalal's Predator tracker. It requires some education, nevertheless it can actively learn how the tracked object seems at various orientations and scales and will it in realtime!

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Assemble not less than a handful of hundred illustrations or photos made up of cola cans, annotate the bounding box around them as good classes, involve cola bottles and other cola goods label them adverse classes as well as random objects.

And finally, the difficult a person. Although not so difficult, at the time we are only heading by what we could see immediately higher than (and beneath) the red wrapper. Its clear, which means it can demonstrate what ever is behind it. That's fantastic, due to the fact things which are powering it are not very likely to be as consistent in colour because the silver circular metal of the can. There could possibly be quite a few different things driving it, which would tell us that It truly is an vacant (or crammed with distinct liquid) bottle, or even a dependable colour, which could both necessarily mean that It is really full of liquid or which the bottle is simply before a stable colour.

Am a several years late in answering this dilemma. While using the point out with the artwork pushed to its limitations by CNNs in the last 5 a long time I wouldn't use OpenCV To achieve this undertaking now! (I realize you especially required OpenCv capabilities Classes from the question) I feel object detection algorithms for instance Faster-RCNNs, YOLO, SSD and so forth would ace this issue with a big margin compared to OpenCV capabilities. If I ended up to tackle this problem now (soon after six years !!) I'd definitely use More rapidly-RCNN.

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You can describe an object in Area with no realizing its analytical equation (and that is the situation in this article).

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