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Recent Advances in Object Detection and Tracking for High Resolution Video: Overview and State-of-the-Art

机译:高分辨率视频的对象检测和跟踪的最新进展:概述和最新技术

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Object detection and tracking at real time is important and challenging tasks in many computer vision applications such as video robot navigation, surveillance, vehicle navigation, security applications, military applications, patient monitoring system and traffic monitoring system. Object detection includes detecting the object in sequence of videos. In this paper we reviewed the different methods/algorithms for object detection and tracking at real time for high resolution video. Now day’s high resolution imaging sensors/cameras is being used in different areas of applications such as security system, in military applications etc. For object detection and tracking in high resolution, greater frame rate requires more time to process a single frame, so it is an extreme challenges for researchers to detect and track target at real time. This sets a demand for fast computational algorithms for real time processing of high resolution videos. Moving object detection and tracking is one of the decisive active areas of research since last decade. In this paper we address and highlight a brief survey or review of various real time object detection and tracking algorithms for high resolution video available in the literature.
机译:在许多计算机视觉应用中,例如视频机器人导航,监视,车辆导航,安全应用,军事应用,患者监控系统和交通监控系统,实时目标检测和跟踪是重要且具有挑战性的任务。对象检测包括按视频序列检测对象。在本文中,我们回顾了高分辨率视频实时检测和跟踪对象的不同方法/算法。如今,当今的高分辨率成像传感器/相机已用于不同应用领域,例如安全系统,军事应用等。为了实现高分辨率的目标检测和跟踪,更高的帧速率需要更多时间来处理单个帧,因此研究人员实时检测和跟踪目标面临着极大的挑战。这对用于实时处理高分辨率视频的快速计算算法提出了要求。自从上个十年以来,运动物体的检测和跟踪是研究的决定性活跃领域之一。在本文中,我们着重介绍或简要介绍了文献中针对高分辨率视频的各种实时对象检测和跟踪算法的简要调查或评论。

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