On the Analysis of Accumulative Difference Pictures from Image Sequences of Real World Scenes

Author

Jain, Ramesh ; Nagel, H.-H.

Author_Institution

Department of Electrical Engineering, University of Texas at Austin, Austin, TX 78712; Department of Computer Science, Wayne State University, Detroit, MI 48202.

Issue

2

fYear

1979

fDate

4/1/1979 12:00:00 AM

Firstpage

206

Lastpage

214

Abstract

The count of events where sample areas from the second and subsequent frames of a TV-image sequence are incompatible with the corresponding sample area of the first frame are accumulated in a first-order difference picture (FODP). Analysis of this FODP provides a separate estimate for images of moving objects and of stationary scene components. We start from the hypothesis that the first frame represents the stationary scene component. Once it has been recognized that a subarea of this initial estimate corresponds to the image of a moving object, the grey values in this subarea are replaced by later estimates of the stationary background at this position. No knowledge specific to a particular scene is utilized in the algorithm. The results for two scene sequences are presented.

Keywords

Computer science; Image analysis; Image recognition; Image sequence analysis; Image sequences; Layout; Noise reduction; Strontium; TV; Detection and description of moving objects; TV-frame sequences; scene analysis;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/TPAMI.1979.4766907

Filename

4766907