Name
Title | ||
|---|---|---|
Motion segmentation and tracking with edge relaxation and optimization using fully parallel methods in the cellular nonlinear network architecture |
Abstract | ||
|---|---|---|
In this paper we outline a fully parallel and locally connected computation model for the segmentation of motion events in video sequences based on spatial and motion information. Extraction of motion information from video series is very time consuming. Most of the computing effort is devoted to the estimation of motion vector fields, defining objects and determining the exact boundaries of these objects. The split and merge segmentation of different small areas, those obtained by... |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1006/rtim.2000.0222 | Real-Time Imaging |
Keywords | Field | DocType |
parallel method,cellular nonlinear network architecture,edge relaxation,motion segmentation,network architecture,computer model,information extraction | Structure from motion,Computer vision,Quarter-pixel motion,Motion field,Computer science,Segmentation,Image processing,Algorithm,Artificial intelligence,Motion estimation,Match moving,Motion vector | Journal |
Volume | Issue | ISSN |
7 | 1 | Real-Time Imaging |
Citations | PageRank | References |
11 | 1.18 | 17 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| László Czuni | 1 | 68 | 13.41 |
| Sziranyi, T. | 2 | 395 | 44.76 |