Video Object Extraction Integrating Temporal-Spatial Information
A novel video object segm entation method combines change detection and edge detection is proposed here.The process of the algorithm can be divided into three parts:motion detection,spatial segmentation and temporal-spatial filter,which integrates the spatial and temporal information of the video sequence.The motion detection step makes use of the t-distribution significance test; then,the initia 1 motion detection mask of every frame in the video sequence can be integrated to for m the movement mask.For spatial segm entation the Sobel edge detection operator is used to get the boundary of the video objects in current fram e; temporal-spatial filter then integrates the temporal and spatial information,extracts the precise boundary of moving object and also reduces the residual noise.Finally,the segmentation of video objects can be optimized by filling and morphology operation.
video object segmentation t-distribution significance test Sobel temporal-spatial filter
Shiping Zhu Jie Gao
Department of Measurement Control and Information Technology,School of Instrumentation Science and Optoelectronics Engineering,Beihang University Beijing 100191,China.
国际会议
沈阳
英文
2053-2056
2012-09-26（万方平台首次上网日期，不代表论文的发表时间）