Analysis of Object Classification and Detection Methods to Mitigate Power Utilization

S. Talokar, Gajrajsingh Narde, Mohit Chaudhari
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引用次数: 0

Abstract

Now a day’s computing technology being grows rapidly so that object detection or identification is crucial in industry. The object detection is a technology related to computer perception and image processing for detecting samples of items to certain shapes in digital images and videos. The ultimate aim of object detection is segmenting the area of notified from a moving spot and to detecting of its motion, place and blockage. The Pattern recognition and classification introduced the pace for recognition of an object in sequence of images. This paper describes the different object detection, object classification methods including the analysis and comparative investigation of various methods and techniques useful for tracking the objects. Along with these the paper gives short idea about energy saving in industry by having application if image or video processing.
降低功耗的目标分类和检测方法分析
如今,计算机技术正在飞速发展,因此物体检测或识别在工业中至关重要。物体检测是一种与计算机感知和图像处理相关的技术,用于检测数字图像和视频中特定形状的物体样本。目标检测的最终目的是将目标区域从运动点中分割出来,并检测其运动、位置和阻塞。模式识别和分类引入了在图像序列中识别物体的步骤。本文介绍了不同的目标检测、目标分类方法,包括对各种对目标跟踪有用的方法和技术的分析和比较调查。同时对图像或视频处理在工业节能方面的应用作了简要的介绍。
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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