Estimation of Optical Flow using Semantic Segmentation and AES Deep Neural Network

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ZAMANIAN H.; FARSI H.; MOHAMADZADEH S.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Journal: Advanced Defense Science and Technology Year:2020 | Volume:11 | Issue:1 Page(s): 51-59

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Title

Estimation of Optical Flow using Semantic Segmentation and AES Deep Neural Network

Author(s)

ZAMANIAN H. | FARSI H. | MOHAMADZADEH S. | Issue Writer Certificate

Keywords

Optical FlowQ1

Semantic SegmentationQ1

Deep Neural NetworkQ1

EncoderQ1

DecoderQ1

Abstract

The importance and demand of visual scene understanding have been increasing because of autonomous systems development. Optical Flow is known as an important tool for scene understanding. Current Optical Flow methods present general assumptions and spatial homogeneous for spatial structure of flow. In fact, the Optical Flow in an image depends on object class and the type of object movement. The first assumption in many methods in this field is the brightness constancy during movements of pixels between frames. This assumption is proven to be inaccurate in general. In this paper, we use recent development of deep convolutional networks in Semantic Segmentation of static scenes to divide an image in to different objects and also depends on type of the object different movement patterns are defined. Next, estimation of the Optical Flow is performed by using Deep Neural Network for initial image which has been semantically segmented. The proposed method provides minimum error in Optical Flow measures for KITTI-2015 database and results in more accurate segmentation compared to state-of-the-art methods for several natural videos.

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APA: Copy

ZAMANIAN, H., FARSI, H., & MOHAMADZADEH, S.. (2020). Estimation of Optical Flow using Semantic Segmentation and AES Deep Neural Network. (JOURNAL OF ADVANCED DEFENCE SCIENCE AND TECHNOLOGY) JOURNAL OF PASSIVE DEFENCE SCIENCE AND TECHNOLOGY, 11(1 ), 51-59. SID. https://sid.ir/paper/371458/en

Vancouver: Copy

ZAMANIAN H., FARSI H., MOHAMADZADEH S.. Estimation of Optical Flow using Semantic Segmentation and AES Deep Neural Network. (JOURNAL OF ADVANCED DEFENCE SCIENCE AND TECHNOLOGY) JOURNAL OF PASSIVE DEFENCE SCIENCE AND TECHNOLOGY[Internet]. 2020;11(1 ):51-59. Available from: https://sid.ir/paper/371458/en

IEEE: Copy

H. ZAMANIAN, H. FARSI, and S. MOHAMADZADEH, “Estimation of Optical Flow using Semantic Segmentation and AES Deep Neural Network,” (JOURNAL OF ADVANCED DEFENCE SCIENCE AND TECHNOLOGY) JOURNAL OF PASSIVE DEFENCE SCIENCE AND TECHNOLOGY, vol. 11, no. 1 , pp. 51–59, 2020, [Online]. Available: https://sid.ir/paper/371458/en

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