Change detection for target detection and classification in video sequences

Author

Donohoe, Gregory W.

Author_Institution

Exploratory Syst. Dev. Div. III, Sandia Nat. Labs., Albuquerque, NM

fYear

1988

fDate

11-14 Apr 1988

Firstpage

1084

Abstract

Describes a family of adaptive change detectors for detecting and segmenting moving objects in video scenes. These change detectors employ several techniques to allow them to adjust to changing image conditions. One of these is a dynamic reference frame which allows the system to adapt to changing backgrounds and produces an unambiguous target silhouette for classification. Another is a scheme to estimate system noise and adjust detection thresholds accordingly to satisfy a chosen performance criterion. Finally, adaptive normalization is used to maintain constant image contrast

Keywords

computerised pattern recognition; computerised picture processing; video signals; adaptive change detectors; adaptive normalization; changing image conditions; classification; constant image contrast; detection thresholds; dynamic reference frame; moving objects; target detection; unambiguous target silhouette; video sequences; Background noise; Detectors; Filters; Image segmentation; Layout; Motion detection; Object detection; Pixel; Target tracking; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Conference_Location

New York, NY

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1988.196783

Filename

196783