Lattice-Based Background Motion Compensation for Detection of Moving Objects with a Single Moving Camera
| Autor: | Yunseok Myung, Gyeonghwan Kim |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Motion compensation
business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Execution time Object detection Match moving Camera auto-calibration Computer Science::Computer Vision and Pattern Recognition Lattice (order) Computer vision Artificial intelligence Image warping business ComputingMethodologies_COMPUTERGRAPHICS Monocular camera |
| Zdroj: | The Journal of Korean Institute of Communications and Information Sciences. 40:52-54 |
| ISSN: | 1226-4717 |
| DOI: | 10.7840/kics.2015.40.1.52 |
| Popis: | In this paper we propose a new background motion compensation method which can be applicable to moving object detection with a moving monocular camera. To estimate the background motion, a series of image warpings are carried out for each pair of the corresponding patches, defined by the fixed-size lattice, based on the motion information extracted from the feature points surrounded by the patches and the estimated camera motion. Experiment results proved that the proposed has approximately 50% faster in execution time and 8dB higher in PSNR comparing to a conventional method. |
| Databáze: | OpenAIRE |
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