A comprehensive survey of computer vision-based human motion capture literature from the past two decades is presented. The focus is on a general overview based on a taxonomy of system functionalities, broken down into four processes: initialization, tracking, pose estimation, and recognition. Each
β¦ LIBER β¦
Vision without Frames: A Semiotic Paradigm of Event Based Computer Vision
β Scribed by Ryad Benosman
- Book ID
- 107647694
- Publisher
- Springer-Verlag
- Year
- 2010
- Tongue
- English
- Weight
- 480 KB
- Volume
- 3
- Category
- Article
- ISSN
- 1875-1342
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
A Survey of Computer Vision-Based Human
β
Moeslund, Thomas B. (author);Granum, Erik (author)
π
Article
π
2001
π
Academic Press Inc.
π
English
β 140 KB
A Survey of Computer Vision-Based Human
β
Moeslund, Thomas B. (author);Granum, Erik (author)
π
Article
π
2001
π
Academic Press Inc.
π
English
β 140 KB
The feasibility of vision-supported comp
β
Y Chen, AG Gale, A Evans
π
Article
π
2009
π
BioMed Central
π
English
β 106 KB
[Lecture Notes in Computational Vision a
β
GonzΓ‘lez Hidalgo, Manuel; Mir Torres, Arnau; Varona GΓ³mez, Javier
π
Article
π
2012
π
Springer Netherlands
π
English
β 935 KB
The computational modelling of deformations has been actively studied for the last thirty years. This is mainly due to its large range of applications that include computer animation, medical imaging, shape estimation, face deformation as well as other parts of the human body, and object tracking. I
Sea trials of a computer vision based fi
β
N.J.C. Strachan
π
Article
π
1994
π
Elsevier Science
π
English
β 826 KB
A new computer-based Farnsworth Munsell
β
Ghose, Supriyo; Parmar, Twinkle; Dada, Tanuj; Vanathi, Murugesan; Sharma, Sourab
π
Article
π
2013
π
Springer Netherlands
π
English
β 200 KB