Paper
19 May 2005 Automatic moving target detecting by a novel video segmentation algorithm
Haitao Jia, Mei Xie
Author Affiliations +
Abstract
This paper proposes a novel algorithm for automatically and quickly extracting the external edge of the moving object. The algorithm uses both spatial and temporal information, which is abundant in image sequences and has not usually been efficiently used in conventional algorithm. Especially most attention of this algorithm is paid for the moving object external-edges. This orientation is designed to deal with the overlap of moving objects in successive frames. After the temporal segmentation the external edge of moving object is detected. Differing from current algorithms the fusing way of the temporal and spatial information has been progressed. Here the algorithm only uses spatial information of the temporal external edge to refine the edge points for getting the accurate boundary. This method will greatly decrease the compute and achieve the fast process in the real-time system. Though the simulation, this algorithm can get perfect result.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Haitao Jia and Mei Xie "Automatic moving target detecting by a novel video segmentation algorithm", Proc. SPIE 5807, Automatic Target Recognition XV, (19 May 2005); https://doi.org/10.1117/12.603117
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Image segmentation

Detection and tracking algorithms

Target detection

Image processing algorithms and systems

Video

Optical flow

Computer simulations

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