Abstract | ||
---|---|---|
We present a variational PDE based model for tracking objects under occlusion. Here, prior shape information is used to segment object boundaries that are occluded. The novelty in this work is that the shape prior is combined with the image term using logical operations pertaining to a unique occlusion scenario, thus avoiding locally optimal solutions. The model was tested on real and synthetic image sequences with promising results. |
Year | Venue | Keywords |
---|---|---|
2007 | SIP | logical operation,prior shape information,optimal solution,unique occlusion scenario,segment object boundary,logic model,image term,variational pde,synthetic image sequence,promising result,occlusion tracking,variational method,tracking,image segmentation |
Field | DocType | ISSN |
Computer vision,Logical operations,Occlusion,Pattern recognition,Image segmentation,Artificial intelligence,Novelty,Mathematics | Conference | 1482-7921 |
Citations | PageRank | References |
1 | 0.37 | 4 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
James H. von Brecht | 1 | 93 | 6.45 |
Sheshadri R. Thiruvenkadam | 2 | 15 | 2.43 |
Tony F. Chan | 3 | 8733 | 659.77 |