Long-Term Background Reconstruction with Camera in Motion
| Autor: | Bizhong Wei, Xiaodong Cai, Bo Yao |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Sprite (computer graphics)
Pixel business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Iterative reconstruction Residual frame Video tracking Motion estimation Segmentation Computer vision Artificial intelligence Image warping business Reference frame Block-matching algorithm |
| Zdroj: | 2009 2nd International Congress on Image and Signal Processing. |
| Popis: | Obtaining a dynamically reconstructed background sprite image is an important and challenging task for video applications such as object-based video coding, tracking and video object segmentation. This paper proposes a novel system for video background reconstruction with camera in motion. Firstly, the proposed algorithm uses feature point pairs from current frame and a reference frame for reliable Global Motion Estimation (GME) where a dynamic reference frame update strategy is utilized. Once the global motion transformation matrix is obtained, each frame is warped into a projective plane where a statistic-based background modeling algorithm is applied and the background sprite image is produced. Compared with conventional sprite generation methods, the proposed algorithm: (1) provides efficient and reliable GME using feature points; (2) significantly reduces the accumulated warping error by a dynamic reference frame update mechanism; (3)produces accu- rate background pixel reconstruction using a statistic analytical model. The experimental results are presented and analyzed to show the robustness and accuracy of the proposed system. Index Terms—Video, background reconstruction, moving cam- era, motion. |
| Databáze: | OpenAIRE |
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