A robust technique for salient map generation and object detection

N. Dat
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Abstract

Nowadays, human has used computers and especially, its applications to manage and solve daily problems, such as fly booking, traffic control, detecting abnormal actions of vehicle, etc. Those tasks must be automatic, rapid and precise to adapt with real time, which may alert the local transportation or police officers as early as possible in hope of reducing risk or furthermore, fatal road accidents. In more detail, computer algorithms should work properly and be applied effective methods in important steps during the particular process, which always relates to segmentation, object recognition, determining a suitable threshold, etc. At this moment, there are various approaches and ways to implement them. In this study, we focus on the effectiveness of rapidly detecting main object and shortening previous process. It made a clearer process, simple to re-implement as well as the improvement, compared with previous researches.
一种鲁棒的显著图生成和目标检测技术
如今,人类已经利用计算机,特别是它的应用程序来管理和解决日常问题,如订机票、交通管制、检测车辆异常行为等。这些任务必须是自动的、快速的和精确的,以适应实时情况,这可能会提醒当地的交通或警察官员尽早减少风险,甚至是致命的道路事故。更具体地说,在特定的过程中,计算机算法应该正常工作,并在重要步骤中应用有效的方法,这通常涉及到分割,目标识别,确定合适的阈值等。目前,有各种各样的方法和方法来实现它们。在本研究中,我们关注的是快速检测主要目标和缩短前置过程的有效性。与以往的研究相比,该方法使流程更清晰,易于重新实施,并有一定的改进。
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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