Extending Multi-Object Detection Ability using Correlative Filter

F. Kinasih, C. Machbub, L. Yulianti, A. Syaichu-Rohman
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引用次数: 2

Abstract

Recently, numerous object detection methods are proposed and has been published by many papers and journals. Since the big hit of YOLO object detector in 2014, even lighter (thus faster) or more accurate method has been developed with good success. On the other side of computer vision advancement, the annual Visual Object Tracker (VOT) challenge is presenting us the newest state-of-the-art tracking methods, which are getting better for each year both in terms of accuracy and speed. In an object detection system with a goal to identify the surrounding environment, it is beneficial to take advantages from rapid development in both object detection and object tracking method. The combined method is able to automatically detect and identify which object is which in subsequent frames with a considerable performance for indoor settings.
利用相关滤波器扩展多目标检测能力
近年来,人们提出了许多目标检测方法,并在许多论文和期刊上发表。自2014年YOLO目标探测器大获成功以来,更轻(因此更快)或更精确的方法得到了很好的开发。在计算机视觉进步的另一方面,年度视觉对象跟踪器(VOT)挑战向我们展示了最新的最先进的跟踪方法,这些方法在准确性和速度方面每年都在进步。在以识别周围环境为目标的目标检测系统中,利用目标检测和目标跟踪方法的快速发展是有益的。该组合方法能够在后续帧中自动检测和识别哪个对象是哪个对象,对于室内设置具有相当大的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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