[arXiv 2022.02] Human Behavior Detection Framework Based on FCOS (Object Detection) and Auxiliary Keypoints (Pose Estimation)
-
Updated
Oct 28, 2022 - Python
[arXiv 2022.02] Human Behavior Detection Framework Based on FCOS (Object Detection) and Auxiliary Keypoints (Pose Estimation)
Passenger Behavior Recognition Dataset
Rust behavior anomaly guard that detects unusual patterns and recommends allow/warn/delay/block.
3D Instance Segmentation and 22 Landmarks Annotation Dataset
1274-Videos-Fence-Climb-Behavior-Data
602-People-3010-Images-Multi-Races-Human-Body-Semantic-Segmentation-Data
Abnormal Behavior Detection using Deep Learning Algorithm
Get Kaspersky Elite Security Edition on GitHub: a complete, high-performance toolkit for seamless malware defense and professional protection. #Safety
10142-Videos-Fall-Behavior-Data
Human Behavior Recognition - A rule‑based computer vision project built with Python, OpenCV, and Streamlit to detect actions (walking, sitting, waving) and emotions (happy, angry, surprised) in real time without datasets. Features an interactive dashboard, analytics, and lightweight heuristics for low‑resource demos and prototypes.
Analyzing large-scale vehicle camera datasets using Convolutional Neural Networks to classify distracted driving behaviors and evaluate trends in driver position change for road safety applications.
2608-Videos-Before-And-After-Weight-Loss-Comparison-Data
Add a description, image, and links to the behavior-detection topic page so that developers can more easily learn about it.
To associate your repository with the behavior-detection topic, visit your repo's landing page and select "manage topics."