Abstract
A method for detecting and tracking multiple moving objects, using both a large spatial region and a large temporal region, without assuming temporal motion constancy is described. When the large spatial region of analysis has multiple moving objects, the motion parameters and the locations of the objects are computed for one object after another. A method for segmenting the image plane into differently moving objects and computing their motions using two frames is presented. The tracking of detected objects using temporal integration and the algorithms for enhancement of tracked objects by filling-in occluded regions and by improving the spatial resolution of the imaged objects are described.
| Original language | English |
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| Title of host publication | Proceedings CVPR 1992 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
| Publisher | IEEE Computer Society |
| Pages | 216-221 |
| Number of pages | 6 |
| ISBN (Electronic) | 0818628553 |
| DOIs | |
| State | Published - 1992 |
| Event | 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992 - Champaign, United States Duration: 15 Jun 1992 → 18 Jun 1992 |
Publication series
| Name | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
|---|---|
| Volume | 1992-June |
| ISSN (Print) | 1063-6919 |
Conference
| Conference | 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992 |
|---|---|
| Country/Territory | United States |
| City | Champaign |
| Period | 15/06/92 → 18/06/92 |
Bibliographical note
Publisher Copyright:© 1992 IEEE.