用梅林变换实现变速视频的事件自动识别
Temporal Scale and Shift Invariant Automatic Event Recognition using the Mellin Transform
- 基于梅林变换，实现时间尺度与平移不变的事件识别
- 在不同播放速度下仍保持高准确率，几乎过滤所有无效事件
- 适合处理高速动态视频数据，尤其适用于监控场景
时空全息相关器结合传统二维光学图像相关技术与冷原子非均匀加宽阵列，实现了三维时空相关，从而在超高速下完成自动事件识别。本文提出一种新方法，可在视频以不同速度运行时实现事件识别。该方法显著提升识别准确率，并能几乎完全过滤视频数据库中的无效事件。
原文摘要 · Abstract (English)
The Spatio-temporal holographic correlator combines the traditional 2D optical image correlation techniques with inhomogeneously broadened arrays of cold atoms to achieve 3D time-space correlation to realize automatic event recognition at an ultra-high speed. Here we propose a method to realize such event recognition for videos running at different speeds. With this method, we can highly improve recognition accuracy and filter almost all the unwanted events in the video database.
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