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   "source": [
    "## 使用光流检测手掌运动\n",
    "\n",
    "本实验是 [AI for Beginners Curriculum](http://aka.ms/ai-beginners) 的一部分。\n",
    "\n",
    "请参考[这个视频](../../../../../../lessons/4-ComputerVision/06-IntroCV/lab/palm-movement.mp4)，视频中一个人的手掌在稳定的背景上向左/右/上/下移动。\n",
    "\n",
    "**你的目标**是使用光流来确定视频中哪些部分包含向上/向下/向左/向右的运动。\n",
    "\n",
    "首先按照课程中描述的方法获取视频帧：\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Code here"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "现在，根据讲座中描述的计算稠密光流帧，并将稠密光流转换为极坐标：\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Code here"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "为每一帧光流构建方向直方图。直方图显示有多少向量落入特定的区间，并且应该将帧中不同方向的运动区分开来。\n",
    "\n",
    "> 你可能还需要将所有幅值低于某个阈值的向量置零。这将消除视频中一些微小的多余运动，例如眼睛和头部的细微动作。\n",
    "\n",
    "绘制一些帧的直方图。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Code here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "观察直方图，确定运动方向应该相当简单。您需要选择那些对应于上/下/左/右方向的区间，并且超过某个阈值的区间。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Code here"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "恭喜！如果您已完成以上所有步骤，您已完成实验！\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n---\n\n**免责声明**：  \n本文档使用AI翻译服务[Co-op Translator](https://github.com/Azure/co-op-translator)进行翻译。尽管我们努力确保翻译的准确性，但请注意，自动翻译可能包含错误或不准确之处。原始语言的文档应被视为权威来源。对于关键信息，建议使用专业人工翻译。我们不对因使用此翻译而产生的任何误解或误读承担责任。\n"
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