7aa71c5f83
本次提交实现了完整的人员行为分析系统，包括： 1. 新增基于位置和跟踪ID的两种行为检测算法 2. 新增徘徊检测服务与行为处理器模块 3. 前后端集成算法配置界面与告警展示 4. 支持图片和视频流场景下的行为分析 5. 新增算法配置接口与文档说明 具体改动： - 新增loitering_detection模型目录与算法实现 - 新增AlgorithmConfig组件实现可视化配置 - 扩展图片/视频检测接口支持算法参数传递 - 新增行为告警推送与前端展示页面 - 优化检测服务，集成行为分析逻辑 - 移除冗余日志输出，完善代码注释
202 lines
7.4 KiB
Python
202 lines
7.4 KiB
Python
"""
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行为检测处理器
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集成基于位置和基于跟踪ID的检测算法
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"""
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import sys
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import os
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import logging
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from typing import Dict, List, Optional, Tuple
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from dataclasses import dataclass
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# 添加算法模块路径
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sys.path.insert(0, os.path.dirname(os.path.dirname(__file__)))
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from algorithms import PositionBasedStationaryDetector, LoiteringDetector
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logger = logging.getLogger(__name__)
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@dataclass
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class BehaviorAlert:
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"""行为告警"""
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alert_type: str # 'stationary', 'loitering'
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level: str # 'low', 'medium', 'high'
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message: str
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person_id: Optional[str] = None
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position_id: Optional[str] = None
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duration: float = 0.0
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bbox: Optional[Tuple[int, int, int, int]] = None
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class BehaviorProcessor:
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"""
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行为检测处理器
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整合两种检测方式：
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1. 基于位置的静止检测（无需跟踪ID）
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2. 基于跟踪ID的徘徊检测（需要跟踪ID）
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"""
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def __init__(
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self,
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# 静止检测参数
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stationary_threshold: float = 10.0,
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position_tolerance: int = 50,
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# 徘徊检测参数
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loitering_threshold: float = 300.0,
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movement_threshold: float = 5.0,
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# 告警参数
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enable_stationary_alert: bool = True,
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enable_loitering_alert: bool = True,
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stationary_alert_threshold: float = 10.0, # 超过此时间产生告警
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loitering_alert_threshold: float = 300.0 # 超过此时间产生告警
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):
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# 初始化检测器
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self.stationary_detector = PositionBasedStationaryDetector(
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stationary_threshold=stationary_threshold,
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position_tolerance=position_tolerance
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)
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self.loitering_detector = LoiteringDetector(
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loitering_threshold=loitering_threshold,
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stationary_threshold=stationary_threshold,
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movement_threshold=movement_threshold
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)
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# 配置
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self.enable_stationary_alert = enable_stationary_alert
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self.enable_loitering_alert = enable_loitering_alert
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self.stationary_alert_threshold = stationary_alert_threshold
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self.loitering_alert_threshold = loitering_alert_threshold
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def process(
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self,
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detections: List[Dict],
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use_tracking: bool = False,
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track_id_key: str = 'track_id'
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) -> Dict:
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"""
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处理检测结果，检测行为
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Args:
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detections: 检测结果列表
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use_tracking: 是否使用跟踪ID（如果有的话）
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track_id_key: 跟踪ID字段名
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Returns:
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{
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'detections': 添加行为信息的检测结果,
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'alerts': 触发的告警列表,
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'stats': 统计信息
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}
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"""
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logger.info(f"[BehaviorProcessor] 开始处理 {len(detections)} 个检测结果")
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logger.info(f"[BehaviorProcessor] 配置: stationary={self.enable_stationary_alert}, loitering={self.enable_loitering_alert}")
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alerts = []
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# 1. 始终进行基于位置的静止检测
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logger.info(f"[BehaviorProcessor] 调用静止检测器...")
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detections = self.stationary_detector.detect(detections)
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logger.info(f"[BehaviorProcessor] 静止检测完成，检测到 {len(detections)} 个结果")
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# 检查静止告警
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stationary_alerts = 0
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if self.enable_stationary_alert:
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for det in detections:
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info = det.get('stationary_info', {})
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if info.get('is_stationary') and info.get('duration', 0) >= self.stationary_alert_threshold:
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alert = BehaviorAlert(
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alert_type='stationary',
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level='medium' if info['duration'] < 30 else 'high',
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message=f"人员静止停留 {int(info['duration'])} 秒",
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position_id=info.get('position_id'),
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duration=info['duration'],
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bbox=tuple(det['bbox'])
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)
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alerts.append(alert)
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stationary_alerts += 1
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logger.info(f"[BehaviorProcessor] 静止告警: {stationary_alerts} 个")
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# 2. 如果有跟踪ID，进行徘徊检测
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logger.info(f"[BehaviorProcessor] use_tracking={use_tracking}")
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if use_tracking:
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detections = self.loitering_detector.detect(detections, id_key=track_id_key)
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# 检查徘徊告警
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if self.enable_loitering_alert:
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for det in detections:
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info = det.get('loitering_info', {})
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if info.get('is_loitering') and info.get('loitering_duration', 0) >= self.loitering_alert_threshold:
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alert = BehaviorAlert(
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alert_type='loitering',
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level='high',
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message=f"人员徘徊 {int(info['loitering_duration'] // 60)} 分钟",
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person_id=str(info.get('person_id')),
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duration=info['loitering_duration'],
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bbox=tuple(det['bbox'])
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)
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alerts.append(alert)
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# 统计信息
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stats = {
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'total_detections': len(detections),
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'stationary_count': len(self.stationary_detector.get_all_stationary()),
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'alert_count': len(alerts)
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}
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if use_tracking:
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stats.update({
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'loitering_count': len(self.loitering_detector.get_all_loitering()),
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'tracking_count': self.loitering_detector.get_stats()['total_tracks']
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})
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logger.info(f"[BehaviorProcessor] 处理完成: {stats}")
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return {
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'detections': detections,
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'alerts': [self._alert_to_dict(a) for a in alerts],
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'stats': stats
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}
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def _alert_to_dict(self, alert: BehaviorAlert) -> Dict:
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"""将告警对象转换为字典"""
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return {
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'type': alert.alert_type,
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'level': alert.level,
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'message': alert.message,
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'person_id': alert.person_id,
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'position_id': alert.position_id,
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'duration': round(alert.duration, 2),
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'bbox': alert.bbox
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}
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def get_stationary_persons(self) -> List[Dict]:
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"""获取所有静止人员"""
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return self.stationary_detector.get_all_stationary()
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def get_loitering_persons(self) -> List[Dict]:
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"""获取所有徘徊人员"""
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return self.loitering_detector.get_all_loitering()
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def reset(self):
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"""重置所有检测器"""
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self.stationary_detector.reset()
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self.loitering_detector.reset()
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def get_config(self) -> Dict:
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"""获取当前配置"""
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return {
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'stationary_threshold': self.stationary_detector.stationary_threshold,
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'position_tolerance': self.stationary_detector.position_tolerance,
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'loitering_threshold': self.loitering_detector.loitering_threshold,
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'movement_threshold': self.loitering_detector.movement_threshold,
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'enable_stationary_alert': self.enable_stationary_alert,
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'enable_loitering_alert': self.enable_loitering_alert,
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'stationary_alert_threshold': self.stationary_alert_threshold,
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'loitering_alert_threshold': self.loitering_alert_threshold
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}
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