Spatio-temporal Human Body Segmentation from Video Stream

2013 ◽  
pp. 78-85 ◽  
Author(s):  
Nouf Al Harbi ◽  
Yoshihiko Gotoh
Keyword(s):  
Human Body ◽  
Video Stream ◽  
Body Segmentation ◽  
Spatio Temporal ◽  
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.

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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