A Video Vehicle Detection Algorithm Based on Improved Adaboost Algorithm

DOI

10.2991/meici-16.2016.114How to use a DOI?

Keywords

Adaboost; Optical flow; Haar feature; Vehicles detection

Abstract

Most of the methods of vehicles detection could not reach the requirements of real-time and accuracy. As a solution, a vehicles detection algorithm was proposed based on improved Adaboost algorithm. The method of the algorithm is that to use the method of Optical flow to detects the video frame then gets the moving zone and pick up the moving zone as the region of interest. Detecting the region of interest with the classifiers training by Haar feature and the vehicle-face image samples to find out the vehicle information from video frames. The results of the experiments show that this algorithm can decrease the range of detection and improved the speed and accuracy.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Weiguang Liu
AU  - Qian Zhang
PY  - 2016/09
DA  - 2016/09
TI  - A Video Vehicle Detection Algorithm Based on Improved Adaboost Algorithm
BT  - Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
PB  - Atlantis Press
SP  - 544
EP  - 548
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-16.2016.114
DO  - 10.2991/meici-16.2016.114
ID  - Liu2016/09
ER  -