Maximally Stable Extremal Regions Improved Tracking Algorithm Based on Depth Image

Author(s):  
Haikuan Wang ◽  
Dong Xie ◽  
Haoxiang Sun ◽  
Wenju Zhou
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yong Lv ◽  
Hairong Zhu

Aiming at the problems of inaccurate interaction point position, interaction point drift, and interaction feedback delay in the process of LiDAR sensor signal processing interactive system, a target tracking algorithm is proposed by combining LiDAR depth image information with color images. The algorithm first fuses the gesture detection results of the LiDAR and the visual image and uses the color information fusion algorithm of the Camshift algorithm to realize the tracking of the moving target. The experimental results show that the multi-information fusion tracking algorithm based on this paper has achieved higher recognition rate and better stability and robustness than the traditional fusion tracking algorithm.


Author(s):  
Minhuck Park ◽  
Sanghoon Jeon ◽  
Beomju Shin ◽  
Heekwon No ◽  
Changdon Kee ◽  
...  

2017 ◽  
Vol 39 (6) ◽  
pp. 106-121
Author(s):  
A. O. Verpahovskaya ◽  
V. N. Pilipenko ◽  
Е. V. Pylypenko

2009 ◽  
Vol 35 (8) ◽  
pp. 1055-1062
Author(s):  
Shao-Hua LIU ◽  
Mao-Jun ZHANG ◽  
Zhi-Hui XIONG ◽  
Wang CHEN

2010 ◽  
Vol 30 (3) ◽  
pp. 650-652 ◽  
Author(s):  
Xuan LU ◽  
Hang LEI ◽  
Zong-bo HAO
Keyword(s):  

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