论文翻译《Background modeling methods in video analysis: A review and comparative evaluation》
Abstract 前景检测方法可以有效地将前景对象（包括运动或静态对象）与背景区分开来，这在视频分析尤其是视频监控应用中具有重要意义。一个良好的背景模型可以获得良好的前景检测结果。虽然已经提出了很多背景建模方法，但是对它们的综合评价却很少。这些方法面临着光照变化和动态背景等诸多挑战。本文首先分析了各种背景建模方法在视频分析应用中的优缺点，然后从质量和计算成本两方面比较了它们的性能。使用Change
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相关文章
- 1. HMM, MEMM, and CRF: A Comparative Analysis of Statistical Modeling Methods
- 2. 翻译：Vehicle Detection on a Video Traffic Scene: Review and New Perspectives
- 3. Paper：《Graph Neural Networks: A Review of Methods and Applications》翻译与解读
- 4. Dimensionality Reduction_ A Comparative Review
- 5. 【文献阅读1】Comparative cytological and transcriptomic analysis of pollen development in autotetraploid a
- 6. 论文：Automated Vehicle Detection and Classification: Models, Methods, and Techniques翻译（五）
- 7. 论文：Automated Vehicle Detection and Classification: Models, Methods, and Techniques翻译（三）
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- 9. Video processing systems and methods
- 10. 【论文翻译】EIDETIC 3D LSTM: A MODEL FOR VIDEO PREDICTION AND BEYOND