feat: 新增人员徘徊/静止行为分析功能

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

apps/web/src/components/ImageDetection.vue

@@ -93,6 +93,13 @@
             <div class="slider-value">{{ config.iou.toFixed(2) }}</div>
           </el-form-item>
 
+          <!-- 算法配置（仅对人员检测模型显示） -->
+          <AlgorithmConfig 
+            v-model="config.algorithmConfig" 
+            @change="onAlgorithmChange"
+            :model-id="config.model"
+          />
+
         </el-form>
       </el-card>
     </div>
@@ -225,6 +232,7 @@ import {
   QuestionFilled
 } from '@element-plus/icons-vue'
 import { detectionApi } from '@/api/detection'
+import AlgorithmConfig from './AlgorithmConfig.vue'
 
 const props = defineProps({
   models: {
@@ -236,7 +244,8 @@ const props = defineProps({
 const config = ref({
   model: props.models.length > 0 ? props.models[0].id : 'fire_detection',
   confidence: 0.5,
-  iou: 0.45
+  iou: 0.45,
+  algorithmConfig: {}
 })
 
 // 可拖拽调整宽度相关
@@ -271,7 +280,20 @@ const originalImage = ref('')
 const resultImage = ref('')
 const detections = ref([])
 const stats = ref(null)
-const uploadUrl = computed(() => `/api/detect/image?model_id=${config.value.model}&confidence=${config.value.confidence}&iou=${config.value.iou}`)
+const uploadUrl = computed(() => {
+  const params = new URLSearchParams({
+    model_id: config.value.model,
+    confidence: config.value.confidence,
+    iou: config.value.iou
+  })
+
+  // 添加算法配置
+  if (config.value.algorithmConfig && Object.keys(config.value.algorithmConfig).length > 0) {
+    params.append('algorithm_config', JSON.stringify(config.value.algorithmConfig))
+  }
+
+  return `/api/detect/image?${params.toString()}`
+})
 
 const formatConfidence = (value) => {
   return `置信度: ${value.toFixed(2)}`
@@ -303,6 +325,22 @@ const handleUploadSuccess = (response) => {
     }
     detections.value = response.data.detections || []
     stats.value = response.data.stats
+    
+    // 处理告警信息
+    if (response.data.alerts && response.data.alerts.length > 0) {
+      alerts.value = response.data.alerts
+      console.log('收到告警:', response.data.alerts)
+      
+      // 显示告警通知
+      response.data.alerts.forEach(alert => {
+        ElMessage({
+          message: `行为告警: ${alert.type} - ${alert.message}`,
+          type: 'warning',
+          duration: 3000
+        })
+      })
+    }
+    
     ElMessage.success('检测完成')
   } else {
     ElMessage.error(response.message)
@@ -320,6 +358,10 @@ const modelName = computed(() => {
   const model = props.models.find(m => m.id === config.value.model)
   return model ? model.name : config.value.model
 })
+
+const onAlgorithmChange = (algoConfig) => {
+  config.value.algorithmConfig = algoConfig
+}
 </script>
 
 <style scoped>
@@ -624,6 +666,78 @@ const modelName = computed(() => {
   color: #409eff;
 }
 
+/* 告警卡片 */
+.alerts-card {
+  margin-bottom: 20px;
+  border: 2px solid #f56c6c;
+}
+
+.alerts-card .card-header {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+}
+
+.alert-count {
+  margin-left: 8px;
+}
+
+.alerts-container {
+  max-height: 400px;
+  overflow-y: auto;
+  padding: 16px;
+}
+
+.alert-item {
+  background: #fef0f0;
+  border-left: 4px solid #f56c6c;
+  padding: 12px;
+  border-radius: 4px;
+  margin-bottom: 12px;
+}
+
+.alert-header {
+  display: flex;
+  align-items: center;
+  gap: 12px;
+  margin-bottom: 8px;
+}
+
+.alert-time {
+  font-size: 12px;
+  color: #909399;
+}
+
+.alert-detail {
+  display: flex;
+  align-items: center;
+  gap: 12px;
+  margin-bottom: 6px;
+}
+
+.alert-message {
+  font-size: 14px;
+  color: #f56c6c;
+  font-weight: 500;
+}
+
+.alert-duration {
+  font-size: 13px;
+  color: #606266;
+  background: #fff;
+  padding: 2px 8px;
+  border-radius: 4px;
+}
+
+.alert-bbox {
+  font-size: 12px;
+  color: #606266;
+  background: #fff;
+  padding: 4px 8px;
+  border-radius: 4px;
+  display: inline-block;
+}
+
 /* 响应式布局 */
 @media (max-width: 768px) {
   .image-detection-container {