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Efficient Fast Object-Tracking Scheme Based on Motion-vector-located Pattern Match

机译:基于运动矢量定位模式匹配的高效快速目标跟踪方案

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摘要

In the process of object tracking, the major problem is how to mark the tracking box of the object. Moreover, multi-objects tracking is also difficult. This paper proposed and efficient fast object-tracking scheme based on motion-vector-located pattern match, which adopts motion vector of Mpeg2 to mark the moving targets in static video in order to mark and locate the targets automatically and quickly. Then, extract multi-dimensional characteristics from the initial targets taken by motion vector and make the model. Then accurately identifies the particles of larger weight and combines with inertia factor of velocity through matching the original data and the observations of particle filter. The matching of the characteristics of the new particle and the original one is more accurate and faster because of adopting the method of pattern classifying. The experiments show that the algorithm had good tracking performance and strong robustness.
机译:在对象跟踪过程中,主要问题是如何标记对象的跟踪框。此外,多目标跟踪也很困难。提出了一种基于运动矢量定位模式匹配的高效快速目标跟踪方案,该方案采用Mpeg2的运动矢量对静态视频中的运动目标进行标记,以实现对目标的自动快速定位。然后,从运动矢量所取的初始目标中提取多维特征,并建立模型。然后,通过匹配原始数据和粒子过滤器的观测值,准确识别较大重量的粒子并结合速度惯性因子。由于采用了模式分类的方法,使得新粒子与原始粒子的特征匹配更加准确,快速。实验表明,该算法跟踪性能好,鲁棒性强。

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