Hardware design of a Hough transform based 2-D motion estimation system

Author

Li, Hsiang-Ling ; Chakrabarti, Chaitali

Author_Institution

Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA

fYear

1996

fDate

30 Oct-1 Nov 1996

Firstpage

359

Lastpage

368

Abstract

A novel feature-domain 2D motion estimation system based on the straight-line Hough transform (SLHT) is presented. This system implements the motion estimation technique proposed by Li and Chakrabarti (see Pattern Recognition, vol.29, no.8, 1996). It operates on 256×256-pixel binary images and consists of two main blocks. The first block does the preprocessing work including smoothing the boundary, tracing and integrating the contours, and detecting dominant points. The second block computes the Hough transform on contour segments as well as the rotation and translation parameters. Each of the modules has been implemented (gate level) and simulated using Mentor Graphics tools. The experimental results are presented and compared with the results of the software implementation

Keywords

Hough transforms; edge detection; feature extraction; image segmentation; smoothing methods; 256 pixel; 2D motion estimation system; 65536 pixel; Mentor Graphics tools; binary images; boundary smoothing; contour integration; contour segments; contour tracing; dominant points detection; experimental results; feature domain system; hardware design; preprocessing; rotation parameters; software implementation; straight line Hough transform; translation parameters; Computational modeling; Graphics; Hardware; Image segmentation; Motion estimation; Smoothing methods; State estimation; Tracking; Two dimensional displays; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

VLSI Signal Processing, IX, 1996., [Workshop on]

Conference_Location

San Francisco, CA

Print_ISBN

0-7803-3134-6

Type

conf

DOI

10.1109/VLSISP.1996.558368

Filename

558368