Classifying bags of keypoints using HMMs

摘要

In this paper, we use a Hidden Markov Models (HMM) to classify bags of SURF keypoints descriptors of a given class. The performance of this technique is compared to that of others, by testing it on various multi-class datasets. We also describe a prospective of expanding our application to include the detection and classification of moving objects in a video stream using optical flow and Self Organizing Maps (SOM).