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22 March 1988 Flying Objects Extraction Based On A Steadiness Analysis From Image Sequences
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Proceedings Volume 0849, Automated Inspection and High-Speed Vision Architectures; (1988) https://doi.org/10.1117/12.942848
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States
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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Heng H. Chang, Christian Fortunel, and Chin-Fu Feng "Flying Objects Extraction Based On A Steadiness Analysis From Image Sequences", Proc. SPIE 0849, Automated Inspection and High-Speed Vision Architectures, (22 March 1988); https://doi.org/10.1117/12.942848
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