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/).
Cite this article
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 -