Title :
Object tracking by adaptive modeling
Author :
Rares, A. ; Reinders, M.J.T.
Author_Institution :
Fac. of Inf. Technol. & Syst., Delft Univ. of Technol., Netherlands
Abstract :
This paper addresses the problem of object tracking in image sequences. The approach taken is based upon adaptive statistical models. An object selected in a frame by a user is tracked throughout the sequence by using a blob-like description of its features. The object features are continuously updated by using the on-line version of the expectation-maximization algorithm. The proposed object description results in a flexible representation
Keywords :
adaptive signal processing; feature extraction; image representation; image restoration; image sequences; optimisation; statistical analysis; tracking; EM algorithm; adaptive modeling; adaptive statistical models; blob-like feature description; expectation-maximization algorithm; feature space; image sequences; movie material restoration; object description; object representation; object tracking; Expectation-maximization algorithms; Frequency; Image restoration; Image sequences; Information technology; Iterative algorithms; Layout; Motion pictures; Shape; Statistics;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899298
