18 May 2004 An active contour-based SSD algorithm for tracking a moving object
Author Affiliations +
Proceedings Volume 5297, Real-Time Imaging VIII; (2004); doi: 10.1117/12.526442
Event: Electronic Imaging 2004, 2004, San Jose, California, United States
Abstract
Since the shape of a 3D object moving in 3D space changes a lot in 2D image due to translation and rotation, it is very difficult to track the object using the SSD algorithm which finds the matching object in the input image using the template of the moving object. To solve the problem, this paper presents an enhanced SSD algorithm which updates the template based on an extended snake algorithm adaptive to the shape variation. The proposed snake algorithm uses the derivative of the area as the constraint energy to determine the boundary of an interested area considering the progressive variation of the shape. The performance of the proposed algorithm has been proved by the experiments where a mobile robot with one camera tracks a 3D target object translating and rotating arbitrarily in the 3D workspace.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Youngjoon Han, Piljae Song, Hwanik Chung, Hernsoo Hahn, "An active contour-based SSD algorithm for tracking a moving object", Proc. SPIE 5297, Real-Time Imaging VIII, (18 May 2004); doi: 10.1117/12.526442; https://doi.org/10.1117/12.526442
PROCEEDINGS
9 PAGES


SHARE
KEYWORDS
Detection and tracking algorithms

Cameras

Mobile robots

Image segmentation

3D image processing

Reconstruction algorithms

Intelligence systems

Back to Top