Bag-of-words model is implemented and tried on 10-class visual concept detection problem. The experimental results show that "DURF+ERT+SVM" outperforms "SIFT+ERT+SVM" both in detection performance and computation efficiency. Besides, combining DURF and SIFT results in even better detection performance. Real-time object detection using SIFT and RANSAC is also tried on simple objects, e.g. drink can, and good result is achieved.
@article{arxiv.1104.0582,
title = {Visual Concept Detection and Real Time Object Detection},
author = {Ran Tao},
journal= {arXiv preprint arXiv:1104.0582},
year = {2011}
}