Video Person Search System - Search hours of footage by appearance instead of scrubbing frame-by-frame. Advanced YOLO-v8 detection with custom trained EfficientNet-B4 classification for gender, shirt color, hair color using Optuna optimization.
System demonstrates multi-person detection and tracking with persistent IDs, currently analyzing subjects for black hair, black shirt, and male gender classification to efficiently locate target individual across video footage.
Individual person detection with clothing color analysis focusing on shirt color classification and gender identification for targeted person search queries.
Gender classification system using EfficientNet-B4 model to identify male/female attributes along with hair and clothing color analysis for comprehensive person search.
High-motion sports tracking demonstrating system performance during rapid movement with clothing color detection and persistent ID tracking in dynamic environments.
Color-based person search demonstration using Lab color space and ΔE2000 distance calculation to accurately identify distinctive clothing colors like red shirts.
Extended duration tracking showing system's ability to maintain persistent IDs and analyze athlete attributes over longer sequences with MediaPipe pose detection.