Abstract
Tracking multiple moving objects in image sequences involves a combination of motion detection and segmentation. This task can become complicated as image motion may change significantly between frames, like with camera vibrations. Such vibrations make tracking in longer sequences harder, as temporal motion constancy can not be assumed. A method is presented for detecting and tracking objects, which uses temporal integration without assuming motion constancy. Each new frame in the sequence is compared to a dynamic internal representation image of the tracked object. This image is constructed by temporally integrating frames after registration based on the motion computation. The temporal integration serves to enhance the region whose motion is being tracked, while blurring regions having other motions. These effects help motion analysis in subsequent frames to continue tracking the same motion, and to segment the tracked region.
| Original language | English |
|---|---|
| Title of host publication | Computer Vision - ECCV 1992 - 2nd European Conference on Computer Vision, Proceedings |
| Editors | Giulio Sandini |
| Publisher | Springer Verlag |
| Pages | 282-287 |
| Number of pages | 6 |
| ISBN (Print) | 9783540554264 |
| DOIs | |
| State | Published - 1992 |
| Event | 2nd European Conference on Computer Vision, ECCV 1992 - Santa Margherita Ligure, Italy Duration: 19 May 1992 → 22 May 1992 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 588 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Conference
| Conference | 2nd European Conference on Computer Vision, ECCV 1992 |
|---|---|
| Country/Territory | Italy |
| City | Santa Margherita Ligure |
| Period | 19/05/92 → 22/05/92 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 1992.