# 机器学习练习

**Repository Path**: seddon2001/machine-learning-exercises

## Basic Information

- **Project Name**: 机器学习练习
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-11-01
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Multi Object Tracker Using Kalman Filter & Hungarian Algorithm
----
- Author: Srini Ananthakrishnan  
- Project: DSCI-6008 Final Project
- Date: 07/14/2017


- Usage:  
$ python2.7 objectTracking.py  

- Design:  

<img src="images/KF_arch.png" height="400"/>  

- Output:  

<img src="images/KF_output.png" height="400"/>  

- Pre-requisite:  
    - Python2.7  
    - Numpy  
    - SciPy  
    - Opencv 3.0 for Python - [Installation](http://www.pyimagesearch.com/2015/06/15/install-opencv-3-0-and-python-2-7-on-osx/)
    
- References:    
  - [Excellent MATLAB tutorial by Student Dave on object tracking](http://studentdavestutorials.weebly.com/multi-bugobject-tracking.html)   
  - [OpenCV Tutorial: Multiple Object Tracking in Real Time by Kyle Hounslow](https://www.youtube.com/watch?annotation_id=annotation_307976421&feature=iv&src_vid=RS_uQGOQIdg&v=bSeFrPrqZ2A)