# pedestrian_detection_and_tracking

**Repository Path**: civftor/pedestrian_detection_and_tracking

## Basic Information

- **Project Name**: pedestrian_detection_and_tracking
- **Description**: Pedestrian detection using Mobilenet SSD and tracking
- **Primary Language**: C++
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-06-09
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# pedestrian_detection_and_tracking
Pedestrian detection using Mobilenet SSD and tracking

[![IMAGE ALT TEXT HERE](http://img.youtube.com/vi/RvVWxufc6S8/0.jpg)](http://www.youtube.com/watch?v=RvVWxufc6S8)

## Pedestrian detection
Trained using Caffe Mobilenet SSD, details(https://github.com/zlingkang/mobilenet_ssd_pedestrian_detection)  
Then model transfered to [ncnn]() (a deeplearning framework optimized for mobile platforms)

## Tracking
An optical-flow and Kalman Filter based multiple object tracker, more details: [https://github.com/zlingkang/multi_object_tracker](https://github.com/zlingkang/multi_object_tracker)

## Usage
* Compile ncnn  
go to 3rd_party/ncnn  
(When using with ARM platforms such as Raspberry Pi, modify ncnn/CMakeLists.txt: add `add_definitions(-mfpu=neon)`,
modify ncnn/src/CMakeLists.txt: modify line 40to46 to `if(TRUE)` )  
`mkdir build`  
`cd build`  
`cmake ..`  
`make`  
* Compile all the rest  
in root directory  
`mkdir build`  
`cd build`  
`cmake ..`  
`make`  
* Run  
go to build/
`./main`