High performance human detector
-
Updated
Oct 9, 2024 - C++
High performance human detector
It is a realtime Face Detection and Recognition Model developed using python.
Bachelor Thesis for the Data Science and Engineering Degree. Grade 9.4/10
A deep learning-based Human Activity Recognition (HAR) system that classifies human actions from video using a CNN–Bidirectional LSTM architecture. The system includes video preprocessing, spatial feature extraction via fine-tuned ResNet50, and temporal modeling using Bi-LSTM. Trained and fine-tuned on UCF-11, UCF-50, UCF-101 datasets.
Add a description, image, and links to the human-recognition topic page so that developers can more easily learn about it.
To associate your repository with the human-recognition topic, visit your repo's landing page and select "manage topics."