Share Email Print

Proceedings Paper

Movement information measurement based on Boolean edge detection and modified HT
Author(s): Min-Hyuk Chang; In-Jeon Park; Kyung Lim; Tae-Kyung Ban; Jong-An Park
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

In this paper, we proposed a method, which is very fast and gives better moving information of the objects in the image sequences. The possible locations of moving objects are found first, and then we apply the Hough Transform only on the detected moving regions to find the optical flow vectors for those regions only. So we save lot of time for not finding optical flow for the still or background parts in the image sequences. The new Boolean based edge detection is applied on the two consecutive input images, and then the differential edge image of the resulting two edge maps is found. A mask for detecting the moving regions is made by dilating the differential edge image. After getting the moving regions in the image sequence with the help of the mask obtained already, we use the Hough Transform and voting accumulation methods for solving optical flow constraint equations. The voting based Hough transform avoids the errors associated with least squares techniques. Calculation of a large number of points along the constraint line is also avoided by using the transformed slope-intercept parameter domain. The simulation results show that the proposed method is very effective for extracting optical flow vectors and hence tracking moving objects in the images.

Paper Details

Date Published: 30 August 2002
PDF: 9 pages
Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); doi: 10.1117/12.481562
Show Author Affiliations
Min-Hyuk Chang, Chosun Univ. (South Korea)
In-Jeon Park, Chosun Univ. (South Korea)
Kyung Lim, Chosun Univ. (South Korea)
Tae-Kyung Ban, Chosun Univ. (South Korea)
Jong-An Park, Chosun Univ. (South Korea)

Published in SPIE Proceedings Vol. 4925:
Electronic Imaging and Multimedia Technology III
LiWei Zhou; Chung-Sheng Li; Yoshiji Suzuki, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?