改进人体动作识别的基于深度图像的目标分割方案

2018 International Conference on Electronics, Information, and Communication (ICEIC) Pub Date : 1900-01-01 DOI:10.23919/ELINFOCOM.2018.8330654

Sungjoo Park, U. Park, Dongchil Kim

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引用次数: 2

摘要

在监控应用中使用3D摄像机进行人体动作识别是一种很有前途的替代方法，可以替代传统的基于2D摄像机的监控。提出了一种基于深度图像的目标分割方案，以提高人体动作识别能力。实验结果表明，采用本文提出的目标分割方案，危险事件检测的平均准确率提高了15%左右。

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Depth image-based object segmentation scheme for improving human action recognition

Human action recognition using the 3D camera for surveillance applications is a promising alternative approach to the conventional 2D camera based surveillance. We propose a depth image-based object segmentation scheme for improving human action recognition. Experimental results show that the average accuracy of the dangerous event detection is improved by about 15% when using the proposed object segmentation scheme.

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2018 International Conference on Electronics, Information, and Communication (ICEIC)

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