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face_mask_detection_cnn icon face_mask_detection_cnn

The model designed achieves an overall of 95% test and validation accuracy, then Haar-Cascade Face Detection method is employed to crop faces in each image and make classifications upon cropped images using the trained CNN model.

multiple-object-tracking-under-noise-and-occlusion icon multiple-object-tracking-under-noise-and-occlusion

Employed augmented belief updates and model the positions and uncertainties of occluders and tracked targets using Gaussian distributions, subsequently applying Kalman Filters and Extended Kalman Filters for tracking. For occluders, we use a hand recognition algorithm to distinguish between static and dynamic occlusions (such as hands).

onrobot icon onrobot

OnRobot packages (https://wiki.ros.org/onrobot)

prml icon prml

PRML algorithms implemented in Python

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