JOURNAL ARTICLE

Motion-Based Moving Object Tracking Using an Active Contour

Abstract

It is quite important to decide the local converging direction of an active contour for correctly extracting the boundary of a moving object with a deformable shape. Thus, a new energy function for the active contour is proposed based on the addition of a directional energy term using a frame difference map to the greedy snake. The frame difference map is used to obtain the motion information of an object with a faster and non-rigid motion. Plus, updating rules for the frame difference map are also developed to encourage a stable convergence of the contour points. Experimental results on real image sequences showed that the proposed method could fully track a speedy deformable object while exactly extracting the boundary of the object in every frame.

Keywords:
Computer vision Artificial intelligence Object (grammar) Active contour model Boundary (topology) Tracking (education) Frame (networking) Motion (physics) Computer science Video tracking Energy (signal processing) Convergence (economics) Mathematics Image (mathematics) Image segmentation Mathematical analysis

Metrics

5
Cited By
0.00
FWCI (Field Weighted Citation Impact)
13
Refs
0.18
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image and Object Detection Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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