Boosting Methods For Object Categorization

Boosting Methods For Object Categorization

Given images containing various known objects in the world, a classifier can be learned from them to automatically categorize the objects in future images. Simple classifiers built based on some image feature of the object tend to be weak in categorization performance. Using boosting methods for object categorization, then, is a way to unify the weak classifiers in a special way to boost the overall ability of categorization.