学习群体行为以进行事件识别

2013 IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS) Pub Date : 1900-01-01 DOI:10.1109/PETS.2013.6523788

E. Cermeño, Silvana Mallor, Juan Alberto Sigüenza

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引用次数: 4

摘要

本文提出了一种基于机器学习技术的事件识别新方法。一台机器使用颜色、纹理和形状特征来训练每一种事件。测试在PETS 2009数据集上执行。我们用六种不同类型的事件来评估我们的自动系统的准确性，然后将结果与人类分类进行比较。

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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Learning crowd behavior for event recognition

This paper presents a new method for event recognition based on machine learning techniques. One machine is trained per kind of event using color, texture and shape features. Testing is performed on the PETS 2009 dataset. We evaluate accuracy of our automatic system with six different kind of events and then compare the results with human classification.

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来源期刊

2013 IEEE International Workshop on Performance Evaluation of Tracking and Surveillance (PETS)

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