Motion analysis on an image sequence using fractal dimension

Kwok-Leung Chan

doi:10.1117/12.206791

21 April 1995 Motion analysis on an image sequence using fractal dimension

Kwok-Leung Chan

Proceedings Volume 2501, Visual Communications and Image Processing '95; (1995) https://doi.org/10.1117/12.206791
Event: Visual Communications and Image Processing '95, 1995, Taipei, Taiwan

Abstract

In this investigation, motion analysis is carried out on image sequence using region-based feature matching. A Two-Pass search algorithm is devised for motion estimation. Each image is partitioned into a number of blocks. The movement of each block is determined by looking for the corresponding block in the previous frame of the image sequence. In the first pass, fractal dimension is estimated in the neighborhoods of each block. The coarse position of the corresponding block in the previous frame is identified based on the similarity of that parameter. This position is then regarded as the center of the search space in the second pass, which employs grey level Exhaustive search to determine the fine position of the block. The algorithm has been tested on a sequence of 16 images. The performance of the Two-Pass search is found to be much better than the grey level Three-Step search and comparable to the grey level Exhaustive search.

Citation Download Citation

Kwok-Leung Chan "Motion analysis on an image sequence using fractal dimension", Proc. SPIE 2501, Visual Communications and Image Processing '95, (21 April 1995); https://doi.org/10.1117/12.206791

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available