A traffic behavior pattern learning method was presented for realizing automatic traffic event detection based on video.
提出了一种用于基于视频的交通事件自动检测的交通行为模式学习方法。
Based on the established model, some associative pattern learning algorithms were put forward, which had the physiological features of structure's self-organizing and neural circuits' reverberating.
研究了基于所建模型的联想式模式学习算法。该算法模型体现了结构自组织、神经回路反响谐振等生理学特征。
Based on the established model, some associative pattern learning algorithms were put forward, which had the physiological features of structure's self-organizing and neural circuits' reverberating.
研究了基于所建模型的联想式模式学习算法。该算法模型体现了结构自组织、神经回路反响谐振等生理学特征。
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