Moving object area detection using normalized self adaptive optical flow
Optical flow estimation is one of the oldest and still most active research domains in computer vision. This paper proposes a novel and efficient method of moving object area detection in the video sequence employing the normalized self-adaptive optical flow. This new approach first performs smoothi...
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| Published in: | Optik (Stuttgart) Vol. 127; no. 16; pp. 6258 - 6267 |
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| Main Authors: | , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier GmbH
01.08.2016
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| Subjects: | |
| ISSN: | 0030-4026, 1618-1336 |
| Online Access: | Get full text |
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