https://github.com/reuseman/video-motion-detection

🎥
https://github.com/reuseman/video-motion-detection

fastflow motion-detection multithreading omp

Last synced: 2 days ago
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🎥

• Host: GitHub
• URL: https://github.com/reuseman/video-motion-detection
• Owner: reuseman
• Created: 2022-05-19T09:59:10.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-06-21T14:08:57.000Z (over 2 years ago)
• Last Synced: 2024-11-08T16:23:41.757Z (about 2 months ago)
• Topics: fastflow, motion-detection, multithreading, omp
• Language: C++
• Homepage:
• Size: 18.7 MB
• Stars: 0
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Video motion detection

## Build instructions

    git clone https://github.com/reuseman/video-motion-detection

    cd video-motion-detection

    mkdir build && cd build

    cmake ..

    make

## Run

### 

    ./motion-detection [options]

    Count the number of frames with motion w.r.t the first frame of the video.

    Optional arguments:

    -h --help               shows help message and exits [default: false]

    -v --version            prints version information and exits [default: false]

    -i --input              path of the input video [required]

    -t --threshold          sets the threshold for motion detection [default: 0.6]

    -w --workers            number of workers (0 for sequential) [default: 0]

    -o --opencv-greyscale   use opencv greyscale [default: false]

    -a --blur-algorithm     blur algorithms (H1, H2, H3, H4, BOX_BLUR, BOX_BLUR_MOVING_WINDOW, OPEN_CV) [default: "BOX_BLUR_MOVING_WINDOW"]

    -p --player             shows the video player (ESC to exit) [default: false]

    -b --benchmark          benchmark mode is enabled and appends the results with the specified name in results.csv

    -i --iterations         benchmark mode is executed with the specified number of iterations [default: 1]

    --verbose               verbose mode [default: false]

### Example

    

Run in sequential mode, with a threshold of 60% of difference, using the `BOX_BLUR_MOVING_WINDOW` algorithm.

    ./motion-detection -i video.mp4 -t 0.6 -w 0 -a BOX_BLUR_MOVING_WINDOW

Run in parallel mode with 16 workers, with a threshold of 60% of difference, using the `BOX_BLUR` algorithm.

    ./motion-detection -i video.mp4 -t 0.6 -w 16 -a BOX_BLUR

// ./MotionDetection -i input.mp4 -t 0.6 -w 0 -o -a BOX_BLUR_MOVING_WINDOW -p --verbose

// ./MotionDetection -i input.mp4 -t 0.6 -a BOX_BLUR_MOVING_WINDOW -b test -i 16