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- 2017
融合超像素分割与码本模型的目标检测算法
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Abstract:
针对码本模型在前景目标检测中的效率有待进一步提高的现状，提出了融合超像素分割的码本构建算法。为减小处理对象的规模，设计了按照颜色及空间相似度聚类原始像素点的思路。以超像素作为码本构建单元，有利于抑制局部噪声并降低码本的冗余度。实验结果表明，融合超像素分割的码本模型算法在保持前景目标检测准确性的情况下，能显著减少视频处理过程中的内存消耗以及提高视频帧处理效率，在基于DM6437的嵌入式处理平台上达到了实时处理的性能。
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