1 December 2010 Hough transform relative to a four-dimensional parameter space for the detection of constant velocity target
Author Affiliations +
Funded by: National Natural Science Foundation of China, National Science Foundation of China
Abstract
We present a novel Hough transform method for moving point target detection by using a 4-D parameter space. A new representation, which uses four parameters (the distance variable , the angle variable , the velocity variable v, and the distance variable S), is proposed for constant velocity target in the 3-D observation space X-Y-T. By estimating velocity, a target trajectory can be transformed into a 4-D parameter space with a limited range of projection options. Our simulation and analysis show that the new algorithm can produce positive results in suppressing noise points with less computational cost.
©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
Jing Hu and Tianxu Zhang "Hough transform relative to a four-dimensional parameter space for the detection of constant velocity target," Optical Engineering 49(12), 127006 (1 December 2010). https://doi.org/10.1117/1.3522642
Published: 1 December 2010
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CITATIONS
Cited by 8 scholarly publications.
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KEYWORDS
3D acquisition

Target detection

Hough transforms

Signal to noise ratio

Error analysis

Detection and tracking algorithms

Optical engineering

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