在体育比赛中运动的球体识别是近年来的热点课题之一。笔者基于OpenCV视觉库中的大量函数,对足球比赛中运动的足球进行跟踪识别。通过图像预处理灰度化、高斯平滑、模板匹配等主要步骤,说明其原理并设计了一种能够识别运动足球的方法。...在体育比赛中运动的球体识别是近年来的热点课题之一。笔者基于OpenCV视觉库中的大量函数,对足球比赛中运动的足球进行跟踪识别。通过图像预处理灰度化、高斯平滑、模板匹配等主要步骤,说明其原理并设计了一种能够识别运动足球的方法。在Visual Studio 2013环境下,利用OpenCV验证了该方法,结果表明该方法可以有效识别目标。展开更多
In this paper, the two-layer IAP model with sea surface temperature anomalies in the equatorial central-eastern Pacific is used to investigate potential predictability of global short-term anomalous climate change cau...In this paper, the two-layer IAP model with sea surface temperature anomalies in the equatorial central-eastern Pacific is used to investigate potential predictability of global short-term anomalous climate change caused by El Nino via the 'switching' experiments. The experimental results show that short-term anomalous climate change in the tropics is mainly caused by instantaneous response of tropical atmosphere to SSTA in the tropics. The effective period of this kind of anomalous climate is shorter and about monthly scale. In the high latitudes, the anomalous climate is mainly caused by the lag response of atmosphere to SSTA in the tropics. The strongest influence appears in the month after a half year when the SSTA in the tropics disappears. Therefore, potential predictability of short-term anomalous climate change may be reached to one year; anomalous climate change in the middle-latitudes is not only affected by instantaneous response to SSTA in the tropics, but also by lag response to that. Therefore, short-term climate change prediction with monthly time scale can be not only done by using SSTA in the tropics, but also prediction of short- term climate after a half year can be done and its effective predictable period may be reached to one year.展开更多
文摘在体育比赛中运动的球体识别是近年来的热点课题之一。笔者基于OpenCV视觉库中的大量函数,对足球比赛中运动的足球进行跟踪识别。通过图像预处理灰度化、高斯平滑、模板匹配等主要步骤,说明其原理并设计了一种能够识别运动足球的方法。在Visual Studio 2013环境下,利用OpenCV验证了该方法,结果表明该方法可以有效识别目标。
文摘In this paper, the two-layer IAP model with sea surface temperature anomalies in the equatorial central-eastern Pacific is used to investigate potential predictability of global short-term anomalous climate change caused by El Nino via the 'switching' experiments. The experimental results show that short-term anomalous climate change in the tropics is mainly caused by instantaneous response of tropical atmosphere to SSTA in the tropics. The effective period of this kind of anomalous climate is shorter and about monthly scale. In the high latitudes, the anomalous climate is mainly caused by the lag response of atmosphere to SSTA in the tropics. The strongest influence appears in the month after a half year when the SSTA in the tropics disappears. Therefore, potential predictability of short-term anomalous climate change may be reached to one year; anomalous climate change in the middle-latitudes is not only affected by instantaneous response to SSTA in the tropics, but also by lag response to that. Therefore, short-term climate change prediction with monthly time scale can be not only done by using SSTA in the tropics, but also prediction of short- term climate after a half year can be done and its effective predictable period may be reached to one year.
