• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Microprocessors and microsystems >Basketball action recognition based on FPGA and particle image
【24h】

Basketball action recognition based on FPGA and particle image

机译：基于FPGA和粒子图像的篮球行动识别

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

Fine-grained motion recognition is most important for such video retrieval, and most work nowadays focuses on coarse-grained and fine-grained actions in motion recognition, without being involved in many uses. To solve this problem, in this system, it have a dataset that challenged a basketball game by annotating detailed actions in a video. Adaptive Multi-Label Classification methods for basketball action recognition benchmark also provides data about the system. In addition, this method is proposed to integrate the FPGA into a network of two data streams in order to find the finest areas of basketball action recognition and extracts the features of the recognition system. This proposed system gives significantly a better and superior results than the existing methods. Taken individually, the surrounding first-person footage can be associated with similar situations in the past and compared with the visual semantics of the spatial and social layout of personal records. In general, first person videos can track common interests, and can be linked to group of individuals in this system.
机译：微粒运动识别对于这种视频检索最重要，现在大多数工作侧重于运动识别中的粗粒和细粒度的动作，而不涉及许多用途。为了解决这个问题，在这个系统中，它通过注释视频中的详细行动来挑战篮球游戏的数据集。篮球行动识别基准的自适应多标签分类方法还提供有关系统的数据。另外，提出该方法将FPGA集成到两个数据流的网络中，以便找到篮球动作识别的最佳领域并提取识别系统的特征。这一提出的系统比现有方法明显更好，卓越的结果。单独拍摄，周围的第一人称镜头可以与过去的类似情况相关，并与个人记录的空间和社交布局的视觉语义相比。通常，第一人称视频可以跟踪共同的兴趣，并且可以链接到该系统中的个人组。

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