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An Investigate on Moving Object Tracking and Detection in Images

机译:调查图像的移动对象跟踪和检测

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Object detection and tracking one of the most important areas of research due to routine change in motion of object and variation in scene size, occlusions, appearance variations, and ego-motion and illumination changes. Specifically, feature selection is the vital role in object tracking. Nowadays, moving objects tracking in real time is a new paradigm that has a great impact on video surveillance and monitoring to detect and trace objects, and due to the constant change in the motion of the object and changing the size of the scene, obstruction, changes in appearance and changes in movement and brightness; it is an important area of research and a very important task in the field of security automation monitoring systems automatically. On the other hand, object tracking in a film is a matter of estimating positions and other relevant information about the movement of objects in the film's visual sequences. The first step in such systems is to identify a moving object in the film. The second step is to track the detected object. The purpose of this paper is to analyze and review the previous approach towards object tracking, object recognition and object detection in Images.
机译:对象检测和跟踪由于物体运动的常规变化和场景大小,闭塞,外观变化和自我运动和照明变化的常规变化导致的最重要的研究领域之一。具体地,特征选择是对象跟踪中的重要作用。如今,实时移动物体跟踪是一种新的范例,对视频监控和监视有很大影响,以检测和跟踪物体,并且由于物体运动的恒定变化和改变场景的尺寸,阻塞,外观变化和运动变化和亮度的变化;它是一个重要的研究领域,以及自动安全自动化监控系统领域非常重要的任务。另一方面,电影中的对象跟踪是估计关于电影视觉序列中对象移动的位置和其他相关信息的问题。这种系统的第一步是识别胶片中的移动物体。第二步是跟踪检测到的对象。本文的目的是分析和审查图像中的目标跟踪,对象识别和对象检测的先前方法。

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