کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
406441 678084 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Depth-images-based pose estimation using regression forests and graphical models
ترجمه فارسی عنوان
برآورد پوسته مبتنی بر عمق تصاویر با استفاده از جنگل های رگرسیون و مدل های گرافیکی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

Depth-images-based human pose estimation is facing two challenges: how to extract features which are discriminative to variations in human poses and robust against noise, and how to reliably learn body joints based on their dependence structure. To tackle the first problem, we propose a novel 3D Local Shape Context feature extracted from human body silhouette to characterise the local structure of body joints. To tackle the second problem, we incorporate a graphical model into regression forests to exploit structural constrains. Experiments demonstrate that our method can efficiently learn local body structures and localise joints. Compared with the state-of-the-art methods, our method significantly improves the accuracy of pose estimation from depth images.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 164, 21 September 2015, Pages 210–219
نویسندگان
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