【摘要】：對于日益成熟的無人駕駛技術(shù),如何快速準(zhǔn)確地識別交警的手勢成為無人駕駛領(lǐng)域中一個重要的研究內(nèi)容。提出一種基于DTW算法的交警指揮手勢識別方法。使用Kinect傳感器獲取人體關(guān)節(jié)點(diǎn)數(shù)據(jù),并根據(jù)交警手勢特點(diǎn)進(jìn)行預(yù)處理,建立訓(xùn)練模板庫;深入分析了該模板庫具備的兩個特征,即類內(nèi)高內(nèi)聚性以及類間低耦合性,由此給出交警指揮手勢識別的實(shí)現(xiàn)步驟和算法。實(shí)驗結(jié)果表明,該方法能自動識別各種交警指揮手勢,具有識別準(zhǔn)確度較高、實(shí)時性較強(qiáng)、穩(wěn)定性好的特點(diǎn)。
[Abstract]:For the increasingly mature driverless technology, how to quickly and accurately recognize the hand gestures of traffic police becomes an important research content in the field of driverless. A signal recognition method for traffic police command based on DTW algorithm is proposed. The Kinect sensor is used to obtain the data of the human body, and the training template library is established according to the characteristics of the traffic police gesture. In this paper, two characteristics of the template library, that is, high cohesion in class and low coupling between classes, are analyzed, and the steps and algorithms of signal recognition for traffic police command are given. The experimental results show that the method can recognize all kinds of traffic police command gestures automatically, and has the characteristics of high recognition accuracy, high real-time performance and good stability.
【作者單位】： 南京財經(jīng)大學(xué)信息工程學(xué)院;
【基金】：國家科技部科技支撐項目(BAH29F01) 國家自然科學(xué)基金資助項目(60802087)
【分類號】：TP391.41

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本文編號：2422012