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基于运动优化语义分割的变分光流计算方法 被引量:2

Variational Optical Flow Computation Method Based on Motion Optimization Semantic Segmentation
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摘要 针对光照变化和大位移运动等复杂场景下图像序列变分光流计算的边缘模糊与过度分割问题,文中提出基于运动优化语义分割的变分光流计算方法.首先,根据图像局部区域的去均值归一化匹配模型,构建变分光流计算能量泛函.然后,利用去均值归一化互相关光流估计结果,获取图像运动边界信息,优化语义分割,设计运动约束语义分割的变分光流计算模型.最后,融合图像不同标签区域光流,获得光流计算结果.在Middlebury、UCF101数据库上的实验表明,文中方法的光流估计精度与鲁棒性较高,尤其对光照变化、弱纹理和大位移运动等复杂场景的边缘保护效果较优. To address the issues of edge-blurring and over-segmentation of image sequence optical flow computation under complex scenes,such as illumination change and large displacement motions,a variational optical flow computation method based on motion optimization semantic segmentation is proposed.Firstly,an energy function of variational optical flow computation is constructed via a image local region based zero-mean normalized cross correlation matching model.Then,the motion boundary information obtained from the computed optical flows is utilized to optimize the initial image semantic segmentation result,and a variational optical flow computation model based on the motion constraint semantic segmentation is constructed.Next,the optical flows of various label areas are fused to acquirethe refined flow field.Finally,experimental results on Middlebury and UCF101 databases demonstrate that the proposed method performs well in computation accuracy and robustness,especially for the edge-preserving with illumination change,textureless regions and large displacement motions.
作者 葛利跃 邓士心 龚洁 张聪炫 陈震 GE Liyue;DENG Shixin;GONG Jie;ZHANG Congxuan;CHEN Zhen(School of Information Engineering,Nanchang Hangkong University,Nanchang 330063;Key Laboratory of Nondestructive Testing,Ministry of Education,Nanchang Hangkong University,Nanchang 330063;National Laboratory of Pattern Recognition,Institute of Automation,Chinese Academy of Sciences,Beijing 100190)
出处 《模式识别与人工智能》 CSCD 北大核心 2021年第7期631-645,共15页 Pattern Recognition and Artificial Intelligence
基金 国家重点研发计划项目(No.2020YFC2003800) 国家自然科学基金项目(No.61866026,61772255,61866025) 中国博士后科学基金项目(No.2019M650894) 江西省自然科学基金重点项目(No.20202ACB214007) 江西省优势科技创新团队计划项目(No.20165BCB19007) 江西省科技创新杰出青年人才计划项目(No.20192BCB23011) 航空科学基金项目(No.2018ZC56008)资助。
关键词 变分光流 运动优化 语义分割 去均值归一化互相关 边缘保护 Variational Optical Flow Motion Optimization Semantic Segmentation Zero-Mean Normalized Cross Correlation Edge-Preserving
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