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Implementation of chosen methods for detecting and tracking objects on the videos in inland navigation

Kujawski A.

Logistyka

2014

nr 6

The aim of the article is to review and implement methods of tracking objects in sequences of video image. The outcome of the test is to indicate the method that fulfils assumptions concerning the amount of correctly recognisable image pixels and the work speed of chosen algorithm. The following methods of tracking objects were tested: optical flow, CAMshift method (Continuously Adaptive Mean Shift), Mixture of Gaussians and SURF method (Speeded-Up Robust Features).