KEYWORDS: Video, Feature extraction, Error analysis, Detection and tracking algorithms, Video processing, Optoelectronics, Video surveillance, Information security, Defense and security, Weapons
The tracking method based on Co-Training framework considers the object tracking as a semi-supervised learning
problem. This paper proposes a new on-line tracking method based on Co-Training framework. The method fuses two
features to describe the object and do randomizing affine deformation with positive examples to increase the number of
positive examples. Experimental results demonstrate, the on-line tracking method based on Co-training framework can
work robustly in long-term tracking and the drift of tracking can be effectively avoided.
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