• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International conference on emerging trends in information technology >A Review of Research of Object Detection Area: Current and Future Trends
【24h】

A Review of Research of Object Detection Area: Current and Future Trends

机译：物体检测领域研究述评：当前与未来趋势

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Object Detection is the key ability of computer vision systems to classify and localize objects in images and videos. The methods employed by computer vision systems to perform object detection task is classified into two broad categories i.e. traditional methods and evolutionary methods. The traditional methods of object detection deal with locating few objects in a single image by looking at the features like shape, texture, color, and region. With the emergence of approaches such as Convolutional Neural Networks (CNNs) and Deep Learning, multiple objects can be detected in a large number of images and videos. The methods based on Convolutional Neural Networks (CNNs) and Deep Learning are known as evolutionary methods. The key ability of evolutionary methods is that these can be used for real-time detection and large datasets containing millions of images. In this work, we have presented a review of object detection research focusing on current and future approaches of object detection methods. Further, at the end of this work, we have presented open research problems of object detection. This work provides insight of the development of research in the area of object detection. This work provides a useful information to the keen researchers to carry their research in the object detection area.
机译：对象检测是计算机视觉系统对图像和视频中的对象进行分类和定位的关键能力。计算机视觉系统用来执行目标检测任务的方法分为两大类，即传统方法和进化方法。传统的对象检测方法是通过查看形状，纹理，颜色和区域等特征来定位单个图像中的几个对象。随着卷积神经网络（CNN）和深度学习等方法的出现，可以在大量图像和视频中检测到多个对象。基于卷积神经网络（CNN）和深度学习的方法被称为进化方法。进化方法的关键能力是可以用于实时检测和包含数百万个图像的大型数据集。在这项工作中，我们对对象检测研究进行了综述，重点是当前和将来的对象检测方法。此外，在这项工作的最后，我们提出了对象检测的开放研究问题。这项工作为物体检测领域的研究发展提供了见识。这项工作为敏锐的研究人员在目标检测领域进行研究提供了有用的信息。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号