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DETECTION OF HUMAN ACTIONS FROM VIDEO DATA

机译:从视频数据中检测人类动作

摘要

Video detection behavioral system is extracted characteristic using characteristic extractor and derives from the space-time interest points that video data detects. The characteristic value data quantizer of feature extraction is distributed to the feature vector in storehouse. Case is distributed in the contribution for calculating the space-time interest points of the sum of bin value, is had the relevant adjustment size of cabinet the sum of identical and/or is contributed. Predetermined action type between the handicap score system-computed this feature vector and reference vector of video detection action one. The relevant adjusted size of summation in storehouse and/or contribution are to adapt in training step, obtain each case based on the matched score in part and use initial actuating detector.
机译:视频检测行为系统使用特征提取器提取特征,并从视频数据检测到的时空兴趣点中得出。特征提取的特征值数据量化器被分配给仓库中的特征向量。案例分布在用于计算仓值总和的时空利息的贡献中,具有相应的橱柜调整大小的总和和/或贡献。在让分系统计算出的特征向量和视频检测动作一的参考向量之间的预定动作类型。仓库中总和和/或贡献的相关调整大小将在训练步骤中适应,部分基于匹配分数获得每种情况,并使用初始启动检测器。

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