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Proceedings Paper

Real-time detection, localization, and tracking of small-sized periodic binary signals in video image sequences
Author(s): Gennady Feldman; Doron Bar; Israel Tugendhaft; Gideon Bar-Tal
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Paper Abstract

An algorithm for real-time detection, localization and tracking of periodic signals, which appear as few-pixel blobs in video image sequences and have a characteristic binary pattern in the temporal domain, was developed, implemented and tested. All stages of the algorithm are described and discussed: (1) initial estimation and continuous re-estimation of global motion; (2) local 'signal augmentation' (the crucial step for detecting small-sized signals in image sequences); (3) temporal domain -- followed by spatial domain -- background estimation and subtraction; (4) binarization; (5) preliminary temporal domain pattern matching and subsequent pixel tracking; (6) signal detection and localization by post- processing and clustering, applied to the set obtained in (5); (7) temporal and spatial tracking of the located signals. The algorithm was tested by processing simulated as well as real image sequences. The results are discussed. The algorithm enables for efficient detection of visible signals, provides for reasonable detection even of invisible signals and yields an acceptable false alarm probability. It has also proved to be insensitive to local motions in a video film, to camera motion, to intensity changes and to any weak flickering of background. Strong flickering of background can, however, decrease the probability of detection.

Paper Details

Date Published: 28 December 2000
PDF: 8 pages
Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); doi: 10.1117/12.411585
Show Author Affiliations
Gennady Feldman, Soreq Nuclear Research Ctr. (Israel)
Doron Bar, Soreq Nuclear Research Ctr. (Israel)
Israel Tugendhaft, Soreq Nuclear Research Ctr. (Israel)
Gideon Bar-Tal, Soreq Nuclear Research Ctr. (Israel)

Published in SPIE Proceedings Vol. 4115:
Applications of Digital Image Processing XXIII
Andrew G. Tescher, Editor(s)

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