Mathematical Morphology And Wavelet Transformation Based Moving Object Detection Algorithm
Authors
Fei Yu, Jianqiang Feng
Corresponding Author
Fei Yu
Available Online March 2014.
- DOI
- https://doi.org/10.2991/mce-14.2014.9How to use a DOI?
- Keywords
- moving object detection; mathematical morphology; wavelet transformation; inter-frame difference method; frame detection
- Abstract
- Moving object detection (MOD) is gaining extensive attention. On the basis of introduction of three conventional ways for MOD, in order to overcome the disadvantage of inter-frame difference method can not completely extract all the relevant points for the moving object, a new moving object detection (MOD) algorithm based on mathematical morphology (MM) and wavelet transformation (WT) is proposed. Firstly, on the basis of description of the basic theory of WT and MM, the detail part of the detected image is achieved by utilization of WT. Then, the inverse wavelet transformation is applied to reconstruct the signal. It finally gets the detection target by means of open and close calculation from MM. In order to evaluate the performance of the proposed algorithm in the paper, clear images fitting for computer digital image processing are selected to be detected. The experimental results show that the presented algorithm can detect the whole moving target, and satisfy the real-time requirement.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Fei Yu AU - Jianqiang Feng PY - 2014/03 DA - 2014/03 TI - Mathematical Morphology And Wavelet Transformation Based Moving Object Detection Algorithm BT - 2014 International Conference on Mechatronics, Control and Electronic Engineering (MCE-14) PB - Atlantis Press SP - 38 EP - 41 SN - 1951-6851 UR - https://doi.org/10.2991/mce-14.2014.9 DO - https://doi.org/10.2991/mce-14.2014.9 ID - Yu2014/03 ER -