Hybrid Camera Based Real-Time Human Body Segmentation for Virtual Reality E-learning System

2011 ◽  
Author(s):  
JongGook Ko ◽  
SuWoo Lee ◽  
Seokbin Kang ◽  
Junsuk Lee
Keyword(s):  
Virtual Reality ◽  
Real Time ◽  
Human Body ◽  
Learning System ◽  
E Learning ◽  
Body Segmentation ◽  
Human Body Segmentation

scholarly journals Graph Cut-Based Human Body Segmentation in Color Images Using Skeleton Information from the Depth Sensor

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 393 ◽  
Author(s):  
Jonha Lee ◽  
Dong-Wook Kim ◽  
Chee Won ◽  
Seung-Won Jung
Keyword(s):  
Human Body ◽  
Color Image ◽  
Depth Image ◽  
Body Region ◽  
Reasonable Accuracy ◽  
Depth Sensor ◽  
Complicated Shape ◽  
Depth Sensors ◽  
Body Segmentation ◽  
Human Body Segmentation

Segmentation of human bodies in images is useful for a variety of applications, including background substitution, human activity recognition, security, and video surveillance applications. However, human body segmentation has been a challenging problem, due to the complicated shape and motion of a non-rigid human body. Meanwhile, depth sensors with advanced pattern recognition algorithms provide human body skeletons in real time with reasonable accuracy. In this study, we propose an algorithm that projects the human body skeleton from a depth image to a color image, where the human body region is segmented in the color image by using the projected skeleton as a segmentation cue. Experimental results using the Kinect sensor demonstrate that the proposed method provides high quality segmentation results and outperforms the conventional methods.

scholarly journals The Use of Virtual Reality in Geo-Education

2020 ◽  
Vol 15 (20) ◽  
pp. 59
Author(s):  
Nurzhanat Dalelovna Shakirova ◽  
Nidal Al Said ◽  
Svetlana Mihailovna Konyushenko
Keyword(s):  
Virtual Reality ◽  
Subjective Assessment ◽  
Physical Geography ◽  
Google Earth ◽  
Learning System ◽  
Technological Capabilities ◽  
Before And After ◽  
E Learning ◽  
The Impact

The paper discusses the technological capabilities of virtual reality (VR) in the field of education as a highly developed form of computer modeling. VR is con-sidered to be able to revolutionize the education field since it provides better en-gagement in learning activities than other teaching methods. In order to study the impact of VR technology on ensuring the quality of e-learning, an experiment is conducted during the Physical Geography online course. The current research in-volves 60 third-year students from the Abai Kazakh National Pedagogical Uni-versity, Moscow Pedagogical State University, and Ajman University. All the re-spondents were divided into two groups. The training of the first group is under-gone through distance learning in the Moodle e-learning system, while the educa-tional process of the second is supplemented with the technological capabilities of the latest VR services (Google Earth, Apple Maps, My Way VR, The VR Muse-um of Fine Art). During the study, students’ subjective assessment of the training is performed according to the basic, expected, and desirable criteria. The exami-nation is carried out in two stages - before and after the course. At the first stage of the assessment, the use of VR corresponds to the desired quality of the educa-tional product. However, after the course and the acquiring of virtual experience, the transfer of the students' desired training criteria into the expected can be ob-served. This indicates a high degree of adaptability of VR technology in educa-tion as well as an increase in the respondents' requirements against the quality of subsequent training courses. Consequently, a significant impact of immersive technology's evolution on the demands on the e-learning quality can be noted.

Robust human body segmentation based on part appearance and spatial constraint

2013 ◽  
Vol 118 ◽  
pp. 191-202 ◽  
Author(s):  
Lei Huang ◽  
Sheng Tang ◽  
Yongdong Zhang ◽  
Shiguo Lian ◽  
Shouxun Lin
Keyword(s):  
Human Body ◽  
Spatial Constraint ◽  
Body Segmentation ◽  
Human Body Segmentation
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