Method and system for building a support vector machine binary tree for fast object search

摘要

Method and system for building a support vector machine binary tree for fast object search. An appearance model can be generated for objects in a database and computed on regions detected in an image frame. A covariance matrix can be utilized for representing the appearance model of the detected regions. The covariance matrix appearance model can be preprocessed and/or transferred into a vector-based format. The data in the vector-based format can be added with a class label to form labeled data. A support vector machine (SVM) can be utilized on the labeled data to generate a classifier with an optimal hyperplane and a margin area in order to hierarchically build a balanced SVM binary tree. A query appearance model can be searched rapidly utilizing the SVM binary tree during a search phase.