基于k近邻分类器的多智能体事件检测系统

2014 International Conference on Electronics, Information and Communications (ICEIC) Pub Date : 2014-10-02 DOI:10.1109/ELINFOCOM.2014.6914382

N. S. Suriani, A. Hussain, M. A. Zulkifley

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引用次数: 2

摘要

提出了一种基于多智能体的盗窃事件自动识别方法。众所周知，M-AER是困难的，因为运动、背景、外观、照明等参数都在不断变化。在这项工作中，运动矢量流(MVF)和定向运动直方图(DMH)捕获视频序列中两个人之间的相互作用，被提议作为M-AER的输入。该系统对抢掠盗窃的检测准确率达到90%以上。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Multi-agent event detection system using k-nearest neighbor classifier

This paper affords a method for the automatic multi-agent event recognition (M-AER) of snatch theft event. M-AER is known to be difficult since parameters such as motion, background, appearance, illumination etc. are constantly changing. In this work, motion vector flow (MVF) and directional motion histogram (DMH) that capture the interaction between two persons in a video sequence are being proposed as input of the M-AER. Assuring result of 90% accuracy has been achieved for the snatch theft detection.

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2014 International Conference on Electronics, Information and Communications (ICEIC)

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