基于智能手机相机的频闪图像实时的视频分析
Real Time Video Analysis using Smart Phone Camera for Stroboscopic Image
摘要：
从连续图像或视频序列中捕获运动目标的运动并由此分割运动目标的运动是计算机视觉领域中的一项特殊任务。智能手机摄像头应用程序是开发此类任务的附加集成，它还提供了一个平稳的测试。提出了一种新的方法，从背景中分割出前景运动目标，然后用静态背景掩盖连续运动，这就是通常所说的频闪图像。在本文中，整个过程的频闪图像的建设技术已经清楚地描述了一些必要的限制，这是由于传统的问题，估计和建模的动态背景变化。本文对背景减除技术进行了适当的估计，并利用目标运动与其出现时间之间的相关性计算了连续运动的次数。这可以是一个非常有效的应用，可以取代传统的频闪系统使用高端的单反相机，三脚架，快门速度控制和位置等。
英文摘要：
Motion capturing and there by segmentation of the motion of any moving object from a sequence of continuous images or a video is not an exceptional task in computer vision area. Smart-phone camera application is an added integration for the development of such tasks and it also provides for a smooth testing. A new approach has been proposed for segmenting out the foreground moving object from the background and then masking the sequential motion with the static background which is commonly known as stroboscopic image. In this paper the whole process of the stroboscopic image construction technique has been clearly described along with some necessary constraints which is due to the traditional problem of estimating and modeling dynamic background changes. The background subtraction technique has been properly estimated here and number of sequential motion have also been calculated with the correlation between the motion of the object and its time of occurrence. This can be a very effective application that can replace the traditional stroboscopic system using high end SLR cameras, tripod stand, shutter speed control and position etc.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
