An integrated system for object tracking and progressive coding based on statistical morphology

Author

Regazzoni, Carlo S. ; Teschioni, Andrea ; Foresti, GianLuca

Author_Institution

Dept. of Biophys. & Electron. Eng., Univ. of Genoa, Genoa, Italy

fYear

1998

fDate

8-11 Sept. 1998

Firstpage

1

Lastpage

4

Abstract

This work presents an integrated system for progressive and predictive image sequences coding and human body movement tracking. The object shape representation, based on the morphological skeleton, is used for both coding and tracking and it allows achieving a high compression ratio. Kalman Filters are used to track the shape of the human body. Practical applications of the focused proposed strategy concern with the surveillance of public areas (supermarkets, stations, stadiums, etc.).

Keywords

Kalman filters; image coding; image motion analysis; image representation; image sequences; mathematical morphology; object tracking; statistical analysis; Kalman filters; human body movement tracking; human body shape tracking; integrated system; morphological skeleton; object shape representation; object tracking; predictive image sequence coding; progressive image sequence coding; public areas surveillance; statistical morphology; Approximation methods; Correlation; Image coding; Receivers; Shape; Skeleton; Splines (mathematics);

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Conference (EUSIPCO 1998), 9th European

Conference_Location

Rhodes

Print_ISBN

978-960-7620-06-4

Type

conf

Filename

7090081