Finding Trajectories of Feature Points in a Monocular Image Sequence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Artificial Intelligence
Using Dynamic Programming for Solving Variational Problems in Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
On active contour models and balloons
CVGIP: Image Understanding
A region matching motion estimation algorithm
CVGIP: Image Understanding
A fast algorithm for active contours and curvature estimation
CVGIP: Image Understanding
Catching moving objects with snakes for motion tracking
Pattern Recognition Letters
Active contours approach to object tracking in image sequences with complex background
Pattern Recognition Letters
Tracking Deformable Objects in the Plane Using an Active Contour Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image and Vision Computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Efficient Active Contour Model Through Curvature Scale Space Filtering
Multimedia Tools and Applications
Rule-driven object tracking in clutter and partial occlusion with model-based snakes
EURASIP Journal on Applied Signal Processing
Enhanced snake algorithm using the proximal edge search method
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I
A survey of graph theoretical approaches to image segmentation
Pattern Recognition
| Hi-index | 0.10 |
Active contour models for object tracking are investigated. The unbiased active contour algorithm, a model using edge feature based tracking, modifies the energy functions to correct the bias towards equal-distanced snaxels and small curvature, and eliminates the need to treat corners specially. Comparison with the William and Shah (1992) model shows substantial improvements.