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 :
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