Research on weighted naive Bayesian classifier in discriminative tracking

Yan Wang, Dawei Yang, Guangsan Li
2014 Proceedings of the 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering   unpublished
Aiming at the question that each positive sample in trained sample set has the same weight when training the naive Bayesian classifier in discriminative tracking algorithm, an algorithm is proposed to put different weight on different positive sample according to the distances between the positive samples and the object, the distance is smaller, the similarity between them is bigger, the weight on this positive sample should be bigger, otherwise, the weight on this sample should be smaller.
more » ... uld be smaller. Taking the distribution of positive samples into consideration, and using the distance between the positive sample and the object to measure the weight of this positive sample, and put different weights on different positive samples. The results of experiments show that this change can prompt the performance of the classifier, and further improve the robustness of the tracking algorithm.
doi:10.2991/meic-14.2014.386 fatcat:tcw7s7vorfbsvesxfzf7oxnvhu