CAJ | 학술논문

提出一种以ViBe算法为基础，结合三帧差分思想的运动目标检测算法。利用ViBe算法对每个像素点建模，当前帧和模型得到的差分图与前一帧得到的差分图再进行与运算，之后运用 ViBe 的思想对模型进行实时更新；同时在每一帧添加小波去噪处理，去除图像高频区域。本文算法有效地解决了光照变化对系统的影响，消除了影子问题，去除了闪烁背景点。实验结果表明，本文算法在多种环境下可以准确地提取运动目标，达到更好的鲁棒性。
제출일충이ViBe산법위기출，결합삼정차분사상적운동목표검측산법。이용ViBe산법대매개상소점건모，당전정화모형득도적차분도여전일정득도적차분도재진행여운산，지후운용 ViBe 적사상대모형진행실시경신；동시재매일정첨가소파거조처리，거제도상고빈구역。본문산법유효지해결료광조변화대계통적영향，소제료영자문제，거제료섬삭배경점。실험결과표명，본문산법재다충배경하가이준학지제취운동목표，체도경호적로봉성。
Based on ViBe, this paper explores a new moving object detection algorithm combining with the three frame difference method. Firstly, we build model on every pixels of the background with the advantage of ViBe;then, do the logic AND operation between two differential images which have been subtracted from the current image and the previous image; lastly, update the model in real time with the idea of ViBe. Meanwhile, in order to remove the high frequency component of the image, we add wavelet denoising to every frame of the image. This algorithm effectively overcomes the effect of illumination change on the system and eliminates the ghost as well as the blinking background pixels. Experiments confirm that this algorithm can accurately extract moving objects in multiple environments and has higher robustness.