摘要
针对目前视频对象分割算法中存在分割速度慢的问题,提出了一种基于LDOF光流算法的视频对象分割方法。首先,利用LDOF((Large Displace Optical Flow)计算视频帧中t与t+1时刻像素点的光流;然后,计算N个邻近像素的方向导数,获得视频对象粗略轮廓信息;再利用高斯混合模型建立前景与背景模型,并运用扫描线算法获得到视频对象精确的轮廓;最后,采用Grab Cut算法对视频对象进行分割。实验结果表明,该算法能有效的提高了视频对象分割的速度。
According to the problems of slow segmentation in the video object segmentation,a video object segmentation method was proposed based on LDOF optical flow algorithm. Firstly,the pixel optical flow in times of t to t + 1 were calculated out by the method of LDOF( Large Displace Optical Flow,LDOF). Then,we calculate the directional derivative of N neighboring pixels to obtain the information of the video's rough outline. By using the Gaussian mixture model to build the foreground and background models and using the algorithm of scan line to calculate out the video object that has more precise contours. Finally,the video object is segmented by using the Grab Cut algorithm. The experimental results show that the algorithm is effective to improve the speed of video object segmentation.
出处
《南昌航空大学学报（自然科学版）》
CAS
2016年第4期18-25,共6页
Journal of Nanchang Hangkong University(Natural Sciences)
基金
宿州学院科研平台项目(2014YKF37)
