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:: Volume 5, Issue 1 (Vol.5, No.1 2019) ::
JNSEE 2019, 5(1): 83-103 Back to browse issues page
Three-Dimensional Human Pose Estimation from a Single Image Using Non-linear Convolutional Neural Network Based on Shape Information
Faranak Shamsafar Eng.1, Hossein Ebrahimnezhad Prof. *
1- department of electrical engineering
sahand university of technology, department of electrical engineering , ebrahimnezhad@sut.ac.ir
Abstract:   (1744 Views)

3D human pose estimation is one of the most significant tasks in computer vision with wide range of applications. The works for estimating human pose initialized from 2D skeletal estimation from multiple data and has proceeded toward 3D skeletal estimation from minimum input information. In this paper, 3D human pose estimation from a single RGB image is investigated. The proposed work is considered as the ones which firstly estimate 2D pose and then lift the estimated 2D configuration to 3D space. Since most of the errors in this attitude are originated by inaccurate 2D pose inference, we have proposed a method for predicting more accurate 2D poses to obtain 3D poses with less errors. The proposed approach for estimating 2D pose has leveraged deep learning along with the information of the edge map. In other words, we have made use of edge features, which are hand-designed features, in order to guide the deep neural network in training and in learning the features in accordance with the defined objective. Experimental results have demonstrated less errors in 2D and consequently 3D pose estimation in Human3.6M and HumanEva-I benchmarks.

Keywords: Human pose estimation, Deep learning, Convolutional neural networks, Edge map
Full-Text [PDF 2014 kb]   (838 Downloads)    
Type of Study: Research | Subject: Machine Vision
Received: 2018/02/5 | Accepted: 2018/08/8 | Published: 2019/01/28
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shamsafar F, ebrahimnezhad H. Three-Dimensional Human Pose Estimation from a Single Image Using Non-linear Convolutional Neural Network Based on Shape Information. JNSEE. 2019; 5 (1) :83-103
URL: http://jnsee.sut.ac.ir/article-1-179-en.html

Volume 5, Issue 1 (Vol.5, No.1 2019) Back to browse issues page
سامانه های غیرخطی در مهندسی برق Journal of Nonlinear Systems in Electrical Engineering
نشریه سامانه‌های غیرخطی در مهندسی برق در خصوص اصول اخلاقی انتشار مقاله، از توصیه‌های «کمیته بین‌المللی اخلاق نشر» موسوم به COPE و «منشور و موازین اخلاق پژوهش» مصوب معاونت پژوهش و فناوری وزارت علوم، تحقیقات و فناوری تبعیت می‌کند.
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