00_Introduction-Main-Goals-of-the-Project.ipynb

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    "### Tasks"
   ]
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    "- Optical Flow\n",
    "- Dense Optical Flow\n",
    "- MeanShift Tracking\n",
    "- CamShift Tracking\n",
    "- Single Tracking\n",
    "- Multi Tracking"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "You can Run the cell by:\n",
    "- clicking on the Run button\n",
    "- Shift + Enter (<b>Windows</b>).\n",
    "- Control + Enter (<b>Mac</b>)"
   ]
  },
  {
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    "When we have finished with our Jupyter Notebook we go to:"
   ]
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    "<b>File</b> -> <b>Save and Checkpoint</b> and then"
   ]
  },
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   "source": [
    "<b>File</b> -> <b>Close and Halt</b>"
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   "source": [
    "### How to Tune Cascade Classifier"
   ]
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   "source": [
    "(https://docs.opencv.org/2.4/modules/objdetect/doc/cascade_classification.html#cascadeclassifier-detectmultiscale)\n",
    "\n",
    "<b>detectMultiscale</b>(input image, <b>Scale Factor</b>, <b>Min Neighbors</b>)\n",
    "- <b>Scale Factor</b> Parameter specifying how much yhe image size is reduced at each image scale.\n",
    "\n",
    "\n",
    "- <b>Min Neighbors</b> Parameter specifying how many neighbors each candidate rectangle should have to retain it."
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### HSV colorspace\n",
    "\n",
    "https://docs.opencv.org/3.4/da/d97/tutorial_threshold_inRange.html"
   ]
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