基于运动优化语义分割的变分光流计算方法

doi:10.16451/j.cnki.issn1003-6059.202107005

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Abstract 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.

Key words： Variational Optical Flow Motion Optimization Semantic Segmentation Zero-Mean Normalized Cross Correlation Edge-Preserving

Received: 09 April 2021

ZTFLH:

TP391

Fund:National Key Research and Development Program of China(No.2020YFC2003800), National Natural Science Foundation of China(No. 61866026,61772255,61866025), China Postdoctoral Science Foundation(No. 2019M650894),Major Program of Natural Science oundation of Jiangxi Province(No. 20202ACB214007), Advantage Technology Innovation Team Project of Jiangxi Province(No. 20165BCB19007), The Outstanding Young Talents Program of Jiangxi Province(No. 20192BCB23011), Aeronautical Science Foundation of China(No. 2018ZC56008)

Corresponding Authors: ZHANG Congxuan, Ph.D., associate professor. His research interests include image processing and computer vision.

About author:: GE Liyue, master, teaching assistant. His research interests include image processing and computer vision.DENG Shixin, master student. His research interests include image processing and computer vision.GONG Jie, master student. Her research interests include image detection and intelligent recognition.CHEN Zhen, Ph.D., professor. His research interests include image understanding and measurement.

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Cite this article:

GE Liyue,DENG Shixin,GONG Jie等. Variational Optical Flow Computation Method Based on Motion Optimization Semantic Segmentation[J]. , 2021, 34(7): 631-645.

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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.202107005 OR http://manu46.magtech.com.cn/Jweb_prai/EN/Y2021/V34/I7/631

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