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首页> 外文会议>Proceedings of the 6th European Embedded Design in Education and Research Conference >An extended Real-Time Compressive Tracking Method using weighted multi-frame Cosine Similarity Metric
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An extended Real-Time Compressive Tracking Method using weighted multi-frame Cosine Similarity Metric

机译：加权多帧余弦相似度量的扩展实时压缩跟踪方法

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摘要

This paper presents an extended algorithm for Real-time Compressive Tracking using Cosine Similarity Metric for object tracking. The method utilises a weighted multi-frame cosine similarity metric with the ground truth bounding box and a recently computed target bounding box. In comparison to the original algorithm it is capable of handling fast motion with a greater degree of accuracy. The proposed algorithm has been benchmarked on a desktop computer and subsequently implemented on a Texas Instruments ARM based DM3730 Beagleboard-xM. The proposed algorithm demonstrates a significant performance increase in fast motion video sequences. In addition, the low computational complexity of the algorithm makes it well suited for embedded applications.
机译：本文提出了一种扩展的实时压缩跟踪算法，该算法使用余弦相似度度量进行对象跟踪。该方法利用加权的多帧余弦相似度度量与地面真实边界框和最近计算的目标边界框。与原始算法相比，它能够以更高的精度处理快速运动。该算法已在台式计算机上进行了基准测试，随后在基于Texas Instruments ARM的DM3730 Beagleboard-xM上实现。所提出的算法证明了快速运动视频序列中的显着性能提升。此外，该算法的低计算复杂度使其非常适合嵌入式应用。

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