...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Japanese journal of applied physics >Flexible feature-space-construction architecture and its VLSI implementation for multi-scale object detection
【24h】

Flexible feature-space-construction architecture and its VLSI implementation for multi-scale object detection

机译：灵活的特征空间构造架构及其用于多尺度目标检测的VLSI实现

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Feature extraction techniques are a cornerstone of object detection in computer-vision-based applications. The detection performance of vison-based detection systems is often degraded by, e.g., changes in the illumination intensity of the light source, foreground-background contrast variations or automatic gain control from the camera. In order to avoid such degradation effects, we present a block-based L1-norm-circuit architecture which is configurable for different image-cell sizes, cell-based feature descriptors and image resolutions according to customization parameters from the circuit input. The incorporated flexibility in both the image resolution and the cell size for multi-scale image pyramids leads to lower computational complexity and power consumption. Additionally, an object-detection prototype for performance evaluation in 65 nm CMOS implements the proposed L1-norm circuit together with a histogram of oriented gradients (HOG) descriptor and a support vector machine (SVM) classifier. The proposed parallel architecture with high hardware efficiency enables real-time processing, high detection robustness, small chip-core area as well as low power consumption for multi-scale object detection. (C) 2018 The Japan Society of Applied Physics.
机译：特征提取技术是基于计算机视觉的应用程序中对象检测的基石。基于Vison的检测系统的检测性能通常由于例如光源的照明强度的变化，前景-背景对比度变化或来自照相机的自动增益控制而降低。为了避免这种降级效果，我们提出了一种基于块的L1规范电路架构，该架构可根据电路输入中的自定义参数针对不同的图像单元尺寸，基于单元的特征描述符和图像分辨率进行配置。多尺度图像金字塔在图像分辨率和像元大小方面都具有灵活性，从而降低了计算复杂度和功耗。此外，用于在65 nm CMOS中进行性能评估的对象检测原型将实现建议的L1-norm电路以及定向梯度直方图（HOG）描述符和支持向量机（SVM）分类器。所提出的具有高硬件效率的并行体系结构实现了实时处理，高检测鲁棒性，较小的芯片核心面积以及低功耗，可用于多尺度目标检测。 （C）2018年日本应用物理学会。

著录项

  • 来源
    《Japanese journal of applied physics》 |2018年第4s期|04FF04.1-04FF04.8|共8页
  • 作者

    Luo Aiwen; An Fengwei; Zhang Xiangyu; Chen Lei; Huang Zunkai; Mattausch Hans Jurgen;

  • 作者单位

    Hiroshima Univ, Grad Sch Adv Sci Matter, Higashihiroshima, Hiroshima 7398530, Japan;

    Hiroshima Univ, Grad Sch Engn, Higashihiroshima, Hiroshima 7398530, Japan;

    Hiroshima Univ, Grad Sch Engn, Higashihiroshima, Hiroshima 7398530, Japan;

    Hiroshima Univ, Grad Sch Adv Sci Matter, Higashihiroshima, Hiroshima 7398530, Japan;

    Hiroshima Univ, Grad Sch Adv Sci Matter, Higashihiroshima, Hiroshima 7398530, Japan;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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