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压缩跟踪 是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-Compression tracking A simple and efficient tracking algorithm based on compression perception. First use of random eligible for compression perception RIP moment of perception dimension reduction of multi-scale image characteristics, and then after the dimension reduction on the characteristics of simple simple bayesian classifier to classify. The tracking algorithm is very simple, but the result of the experiment is very robust, speed can reach about 40 frames per second
Date : 2025-12-20 Size : 3.42mb User : 陈镜宇
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