Moving point target trajectory detection based on dual-Hough transform

Jing Hu; Tian-Xu Zhang

doi:10.1117/12.751069

15 November 2007 Moving point target trajectory detection based on dual-Hough transform

Jing Hu, Tian-Xu Zhang

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67864F (2007) https://doi.org/10.1117/12.751069
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

This paper deals with research on detecting moving point target trajectory in image sequence. A novel method is presents for this purpose, which combines two 2-dimension Hough transforms to suppress noise points and to detect trajectory points in time order. The first Hough transform has an accumulators array using a restricted voting process and a set of straight lines are found in the image plane. A new T-L parameter space is proposed which is derived from these straight lines. In the second transform, collinear points are mapped into T-L space and it is easy to find the direction of motion. Experimental results show that our method can effectively extract moving point target trajectory accurately in a limited observing time especially scanning images from large numbers of noise points while search region is much larger than target movability.

Citation Download Citation

Jing Hu and Tian-Xu Zhang "Moving point target trajectory detection based on dual-Hough transform", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67864F (15 November 2007); https://doi.org/10.1117/12.751069

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