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Pruning Distorted Images in MNIST Handwritten Digits
In the second stage, we exclude these identified images from the training dataset and proceed to retrain the model using the filtered dataset.
Appearance invariant Entry-Exit matching using visual soft biometric traits
The problem of appearance invariant subject recognition for Entry-Exit surveillance applications is addressed.
Monitoring of people entering and exiting private areas using Computer Vision
Entry-Exit surveillance is a novel research problem that addresses security concerns when people attain absolute privacy in camera forbidden areas such as toilets and changing rooms that are basic amenities to the humans in public places such as Shopping malls, Airports, Bus and Rail stations.
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