Tracking is an interesting area of research. It has to meet several challenges in real-time. There is a more noteworthy possibility of missing the objective. Again, the target may be single or multiple. Each one is having its speed. The biggest obstacle is when the target meets the shadow of some object or itself, the intensity of the target changes severely. This results in missing the target. In this proposed paper, an adaptive algorithm using the Difference method with normalized values indexed with Vegetation parameters (NDVI) is utilized to differentiate the target from shadows followed by tracking the desired object which may be moving at different speeds by an improved optical flow algorithm. Thus, this proposed method aims to follow the object along with challenging illuminations and in the presence of shadows. This is particularly useful to follow the objects successfully on both internal and out-of-doors scenes in shadows. Examination and comparison of various videos in MAT Lab with standard data set indicate that this method yields a better tracking result with state of art methods.

中文翻译：

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阴影和照明不佳时移动目标的自适应跟踪

跟踪是一个有趣的研究领域。它必须实时应对一些挑战。缺少目标的可能性更大。同样，目标可以是单个或多个。每个人都有自己的速度。最大的障碍是当目标遇到某个物体或其自身的阴影时，目标的强度会发生剧烈变化。这导致错过目标。在本文中，利用差分方法的自适应算法将归一化值与植被参数（NDVI）进行索引，从而利用阴影算法将目标与阴影区分开，然后通过改进的光流算法跟踪可能以不同速度运动的目标物体。因此，该提出的方法旨在跟随具有挑战性的照明以及存在阴影的物体。这对于在阴影中的内部和室外场景中成功跟踪对象特别有用。在MAT Lab中使用标准数据集对各种视频进行的检查和比较表明，采用最新技术，该方法可获得更好的跟踪结果。