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I know that using the Haar cascades i am able to detect objects.
Using lukas kanade i am able to track an object. Lukas kanade is though prone to lose track of the object which means it has to be re initialized using haar cascades or other form of detecting, but it is not always capable of detecting objects (depending on how the object is posed).. does there exist a way where you using Lukas kanade can train/improve an existing a classifier such that when the object has to be redetected, it will be redetected using a improved classifier, such that it also detects the object in different poses?

I know that using the Haar cascades i am able to detect objects.
Using lukas kanade i am able to track an object. Lukas kanade is though prone to lose track of the object which means it has to be re initialized using haar cascades or other form of detecting, but it is not always capable of detecting objects (depending on how the object is posed).. does there exist a way where you using Lukas kanade can train/improve an existing a classifier such that when the object has to be redetected, it will be redetected using a improved classifier, such that it also detects is capable of detecting the object in different poses?

I know that using the Haar cascades i am able to detect objects.
Using lukas kanade i am able to track an object. Lukas kanade is though prone to lose track of the object which means it has to be re initialized using haar cascades or other form of detecting, but it is not always capable of detecting objects (depending on how the object is posed).. does there exist a way where you using Lukas kanade can train/improve an existing a classifier such that when the object has to be redetected, it will be redetected using a improved classifier, such that it is capable of detecting the object in different poses?