Automation pattern detection for open source maintainers
[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.
Detector: Ransomware behavior detection — encryption patterns, mass file ops, shadow copy deletion, backup targeting in Python
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.
Abnormal Behavior Detection using Deep Learning Algorithm
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.
AI-powered behavior detection for CCTV surveillance using YOLOv8 with pose estimation.
602-People-3010-Images-Multi-Races-Human-Body-Semantic-Segmentation-Data
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