Ensemble tracking

• Published in: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) Vol. 2; pp. 494 - 501 vol. 2
• Main Author: Avidan, S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 2005
• Subjects: Adaptive filters; Filtering; Lighting; Machine vision; Pixel; Stability; Surveillance; Switches; Testing; Video sequences

We consider tracking as a binary classification problem, where an ensemble of weak classifiers is trained online to distinguish between the object and the background. The ensemble of weak classifiers is combined into a strong classifier using AdaBoost. The strong classifier is then used to label pix...