DocumentCode
3516458
Title
Computation of Real-Time Optical Flow Based on Corner Features
Author
Qiaoyun Guo ; Xuemei Xu ; Li An ; Mo Qin
Author_Institution
Inst. of Phys., Central South Univ. Changsha, Changsha, China
fYear
2010
fDate
28-29 Oct. 2010
Firstpage
345
Lastpage
348
Abstract
This paper describes an approach to real-time optical flow computation that combines the corner features and pyramid Lucas-Kanade. Corners instead of all the points in the image are taken into optical flow computation, which could reduce the amount of calculation to a large extend. The experiment has shown that using this optical flow algorithm to track targets is effective and could meet the requirements of real-time applications.
Keywords
edge detection; image motion analysis; image sequences; target tracking; corner features; pyramid Lucas-Kanade; real-time optical flow; target tracking; Computer vision; Image motion analysis; Nonlinear optics; Optical computing; Optical imaging; Real time systems; Target tracking; motion tracking; optical flow; real-time;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence Information Processing and Trusted Computing (IPTC), 2010 International Symposium on
Conference_Location
Huanggang
Print_ISBN
978-1-4244-8148-4
Electronic_ISBN
978-0-7695-4196-9
Type
conf
DOI
10.1109/IPTC.2010.52
Filename
5663245
Link To Document