DocumentCode
1682004
Title
Image Correlation Based Video Tracking
Author
Ellis, Joseph G. ; Kramer, Kathleen A. ; Stubberud, Stephen C.
Author_Institution
Electr. Eng., Univ. of San Diego, San Diego, CA, USA
fYear
2011
Firstpage
132
Lastpage
136
Abstract
Image correlation can be used for quality testing, pattern recognition, image searching, and image tracking. Image tracking of a video image was the focus of a frequency domain based approach using two-dimensional Fourier transforms for image correlation. When tracking a moving object that varies in size over time, a technique to identify the position of a template image within the larger picture was used. This approach requires the dynamic resizing of the template image in the video as it grows and shrinks in size. This approach allows for accurate image placement and the subsequent path of the image through a video screen can be followed. The solution can be implemented to provide real time results to provide the path of the image tracked.
Keywords
Fourier transforms; object tracking; video signal processing; 2D Fourier transforms; image correlation based video tracking; image placement; image searching; image tracking; moving object tracking; pattern recognition; quality testing; Correlation; Frequency domain analysis; Image color analysis; Real time systems; Streaming media; Target tracking; image correlation; image tracking; optical correlation; video tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Engineering (ICSEng), 2011 21st International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4577-1078-0
Type
conf
DOI
10.1109/ICSEng.2011.31
Filename
6041827
Link To Document