無人機數車--Drone-based Object Counting by Spatially Regularized Regional Proposal Network
Drone-based Object Counting by Spatially Regularized Regional Proposal Network ICCV2017 數據庫：https://lafi.github.io/LPN/ 本文主要使用CNN網絡處理無人機拍攝的視頻，同時完成對圖像中的車輛檢測和計數，新建了一個用無人機拍攝停車場的數據庫 CARPK，含有近9萬輛車 下面是一個示意圖
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- 1. Learning Spatially Regularized Correlation Filters for Visual Tracking （SRDCF）
- 2. Connectionist Text Proposal Network
- 3. Convolutional Neural Network - Object Detection
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- 5. 人車密度估計--Towards perspective-free object counting with deep learning
- 6. Crowd Counting（人羣計數）
- 7. Regularized Pooling
- 8. 論文解讀：Faster R-CNN《Toward Real-Time Object Detection with Region Proposal Network》
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相關文章
- 1. Learning Spatially Regularized Correlation Filters for Visual Tracking （SRDCF）
- 2. Connectionist Text Proposal Network
- 3. Convolutional Neural Network - Object Detection
- 4. RPN（Region Proposal Network）
- 5. 人車密度估計--Towards perspective-free object counting with deep learning
- 6. Crowd Counting（人羣計數）
- 7. Regularized Pooling
- 8. 論文解讀：Faster R-CNN《Toward Real-Time Object Detection with Region Proposal Network》
- 9. 《Learning Spatially Regularized Correlation Filters for Visual Tracking》---文獻理解翻譯
- 10. 『計算機視覺』Region Proposal by Guided Anchoring