首页> 外文会议>International conference on intelligent computing >Methods for Eliminating the Complex Background of Pedestrian Images
【24h】

Methods for Eliminating the Complex Background of Pedestrian Images

机译:消除行人图像复杂背景的方法

获取原文

摘要

In order to eliminate the complex background of pedestrian images in the re-identification task, this paper introduces grab-cut and co-segmentation algorithms to eliminate the complex background for the different pedestrian datasets. Specifically, we use grab-cut to handle small person dataset. For the bigger dataset, the designed co-segmentation algorithm which based on HSV color space is applied. Experimental results show that the proposed methods have a good effect.
机译:为了消除重新识别任务中行人图像的复杂背景,本文介绍了抓剪和共分割算法,以消除不同行人数据集的复杂背景。具体来说,我们使用抓剪来处理小人物数据集。对于较大的数据集,应用了基于HSV颜色空间设计的协同分段算法。实验结果表明,该方法具有良好的效果。

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