基于YOLO和FER的实时人群情绪检测器

Facial expression analysis is an active area of computer vision, but analysing a crowded scene presents practical challenges: several faces may appear in one frame, faces may be partially occluded or small, and illumination and head pose can vary.This paper presents the design of a Real-Time Crowd Emotion Detector that combines YOLObased face detection with Facial Emotion Recognition (FER).The proposed pipeline accepts webcam or video input, extracts frames, detects multiple faces, crops the detected regions, predicts an emotion for each face, and aggregates predictions into a crowd-level emot