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首页> 外文期刊>Indian Journal of Computer Science and Engineering >Exploring the techniques for object detection, classification, and tracking in video surveillance for crowd analysis
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Exploring the techniques for object detection, classification, and tracking in video surveillance for crowd analysis

机译:探索人群分析视频监控中的对象检测,分类和跟踪技术

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摘要

Video surveillance (observation) will be going through a massive variation in the most recent decade, and loads of research is experiencing around there. As Tracking of objects will be an essential portion of such frameworks, it gets essential to survey all state of art techniques & methods that exist to classification, detection of an object, & tracking for crowd analysis. This manuscript comprises of all models in the classified method. After object identification, classification is done to track that later. The Tracking of objects will be the technique to find the target in the following video frames. There are additionally a few difficulties in video observation that make it difficult like the object tracking on a few parameters such as problems of environment, illumination variation, pose variation, motion blur, matching of coordinates, & objects tracking, etc. Great characterization is deliberated for survey & complete review of all probable methods, so every perspective is subsequently enlightened in this article.
机译:视频监控(观察)将在最近的十年中经历大规模的变化,并且在那里遇到了大量的研究。随着对象的跟踪将是这种框架的必要部分,它对于调查为分类,检测对象的分类,检测的所有现有技术和方法而是必要的。此稿件包括分类方法中的所有模型。在对象标识之后,完成分类以稍后跟踪。对象的跟踪将是在以下视频帧中找到目标的技术。视频观察中还有一些困难使得诸如少数参数上的对象跟踪诸如环境,照明变化,姿势变化,运动模糊,坐标匹配和物体跟踪等的对象跟踪等困难。刻心,表征很大对于所有可能方法的调查和完整审查,因此在本文中随后在这篇文章中启示了每种角度。

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