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Thought this was cool: Real-time Compressive Tracking

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感谢香港理工大学的Kaihua Zhang,这是他即将在ECCV 2012上出现的paper:Real-time Compressive Tracking。 这里是他的介绍:

一种简单高效地基于压缩感知的跟踪算法。首先利用符合压缩感知RIP条件的随机感知矩对多尺度图像特征进行降维,然后在降维后的特征上采用简单的朴素贝叶斯分类器进行分类。该跟踪算法非常简单,但是实验结果很鲁棒,速度大概能到达40帧/秒。具体原理分析可参照相关文章。

链接

视频:

欢迎大家将自己的论文发到 Cvchina上和大家分享。。。。

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from 增强视觉 | 计算机视觉 增强现实: http://www.cvchina.info/2012/07/31/real-time-compressive-tracking/

Written by cwyalpha

七月 31, 2012 在 10:23 上午

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