Motion-based hierarchical active contour model for deformable object tracking

Authors:
Jeongho Shin;Hyunjong Ki;Joonki Paik
Affiliations:
Image Processing and Intelligent Systems Lab., Department of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University, Seoul, Korea;Image Processing and Intelligent Systems Lab., Department of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University, Seoul, Korea;Image Processing and Intelligent Systems Lab., Department of Image Engineering, Graduate School of Advanced Imaging Science, Multimedia, and Film, Chung-Ang University, Seoul, Korea
Venue:
CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
Year:
2005

Citing 4
Cited 0

A fast algorithm for active contours and curvature estimation

CVGIP: Image Understanding
Tracking Deformable Objects in the Plane Using an Active Contour Model

IEEE Transactions on Pattern Analysis and Machine Intelligence
Color active shape models for tracking non-rigid objects

Pattern Recognition Letters - Special issue: Colour image processing and analysis
Snakes, shapes, and gradient vector flow

IEEE Transactions on Image Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper proposed a novel scheme for combined contour extraction and deformable object tracking. In order to track fast moving objects, we first add the motion estimation term to the energy function of the conventional snake. Then, a hierarchical approach using wavelet analysis is applied. Although the proposed wavelet-based method can track objects with large motion, the proposed method requires less computational load than the conventional one. By using a training procedure, the proposed method overcomes occlusion problems and local minima due to strong edges in the background. The proposed algorithm has been tested for various images including a sequence of human motion to demonstrate the improved performance of object tracking.