This is a simple application of Convolution Neural Networks combined with background ellimination to detect different hand gestures.
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Updated
Dec 1, 2019 - Python
This is a simple application of Convolution Neural Networks combined with background ellimination to detect different hand gestures.
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.
background_Detection_(and replace)_based_on_HSV in real world
Video Background Substitution, using segmentation, tracking and change detection techniques
Using this you can set backgrounds of simple images like icons or simple black and while images to transparent.
Motion detection using background subtraction. Implement 3 background subtraction methods: frame differencing, mean filter, mixed of gaussian
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
This Python Program allows to detect any motion occurring in the webcam and records the time interval for which the object was in front of the screen using a Bokeh graph.
Background subtraction using OpenCV. parallelized using MPI.
Background Subtraction/ Optical Flow/ Perspective Transform/ PCA/ Dogs and Cats classification Using ResNet50
Detect anomalies in images using deep features
Estimate of the naval traffic in Venice
A Jupyter notebook demonstrating motion detection in videos using OpenCV techniques such as background subtraction and erosion, tailored for real-world applications.
Implementation of inter-frame difference algorithm
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