Video Background Substitution, using segmentation, tracking and change detection techniques
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Updated
Mar 30, 2019 - MATLAB
Video Background Substitution, using segmentation, tracking and change detection techniques
Image processing is used to isolate two bacteria in video frames and track bacterial trajectories.
Using this you can set backgrounds of simple images like icons or simple black and while images to transparent.
This repo contains my implementations of the assignments of the course Computer Vision (COL780) offered in Sem II, 2022-23 at IIT Delhi.
This is a simple application of Convolution Neural Networks combined with background ellimination to detect different hand gestures.
Developed a method to directly recover background images from video using Compressive Sensing
Implementation of U-Net architecture from scratch in keras for change detection.
A lite human computer interaction system, mainly dependent on the controller in webcam.
Implementation of algorithm for foreground-background separation in low quality patrimonial document images.
BlendToMend built under guidance of Samsung R&D Noida. BlendToMend has been developed with the aim of removing most of the unwanted and moving objects from a burst if 10+ images captured to render a final image which only contains the stable.
background_Detection_(and replace)_based_on_HSV in real world
In this repository, I have included the code for tracking magnetic nanopropellers which was implemented through computer vision.
fire detection using short video. color characteristic analyze using color filtering with trackbar and motion segmented using background substraction. output will be image sequence in folder.
Classifying Vehicles Entering and Exiting a tunnel, MSc thesis.
Remove background by customized unet style model
Examining Farneback and lucas-Kanade optical flows also testing MOG, MOG2, and GMG background subtraction approaches
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