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Proceedings Paper

Flying Objects Extraction Based On A Steadiness Analysis From Image Sequences
Author(s): Heng H. Chang; Christian Fortunel; Chin-Fu Feng
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Paper Abstract

A new approach for the extraction of flying objects in the presence of a perturbed background is presented. The approach is based on a steadiness analysis of moving objects from image sequences and has been implemented on the Pipelined Image Processing Engine (PIPE). Trees are "steadier" than flying airplanes as a tree's top moves in a confined area. However, an airplane typically moves in a fixed direction for an extended period of time. This simple constraint is exploited as the basis for utilizing an object's "steadiness" in the extraction of flying objects. The algorithm proceeds in three passes. First, an image-differencing operation is used to extract flying objects and swinging objects (e.g., tree); secondly, a mask covering a swinging object's moving area is created by studying the steadiness of flying objects and swinging objects over a couple of frames; thirdly, the mask created in the second pass is used to guide the extraction of flying objects from subsequent frames. The performance of this approach has been tested on a number of sequences of synthetic and real-world images. It has been found that the algorithm is accurate and robust for extracting flying objects. A number of limitations of the algorithm have been proposed and their effects on performance have been studied.

Paper Details

Date Published: 22 March 1988
PDF: 13 pages
Proc. SPIE 0849, Automated Inspection and High-Speed Vision Architectures, (22 March 1988); doi: 10.1117/12.942848
Show Author Affiliations
Heng H. Chang, FMC Corporation (United States)
Christian Fortunel, FMC Corporation (United States)
Chin-Fu Feng, FMC Corporation (United States)


Published in SPIE Proceedings Vol. 0849:
Automated Inspection and High-Speed Vision Architectures
Rolf-Juergen Ahlers; Michael J. W. Chen, Editor(s)

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