diff --git a/fam-ui/src/app.py b/fam-ui/src/app.py
index a5ba6ac..c2204ae 100644
--- a/fam-ui/src/app.py
+++ b/fam-ui/src/app.py
@@ -795,11 +795,12 @@ elif page == "👤 人物管理":
     real_to_label = {v: k for k, v in alias_map.items()}
 
     # 聚合每个真实人物出现的帧（时间升序）
+    # 聚合每个真实人物出现的帧（时间升序），保留原始 person 串供独照判定
     person_frames = {}
     for r in detail_rows:
         for p in resolve_persons(r['person'], alias_map):
             person_frames.setdefault(p, []).append(
-                (r['event_id'], r['frame_index'], r['frame_timestamp']))
+                (r['event_id'], r['frame_index'], r['frame_timestamp'], r['person']))
 
     named_keys = [k for k in person_frames if k in real_to_label]
     st.markdown(
@@ -823,19 +824,28 @@ elif page == "👤 人物管理":
                 _meta_cache[event_id] = {}
         return _meta_cache[event_id]
 
-    def person_photo(frames):
-        """头像优先挑有人脸的帧（face_count 最大），其次按时间序第一张"""
-        best, best_faces = None, -1
-        for eid, fidx, _ in frames:
+    def person_photo(key, frames):
+        """头像挑选策略：
+        1. 优先『独照』——该帧只有当前人物一个标签且人脸数=1（不会拿双人图当头像）
+        2. 无独照时退而求其次：人脸数最多的帧
+        3. 最后按时间序第一张兜底
+        """
+        solo, best, best_faces = None, None, -1
+        for eid, fidx, _ts, person_str in frames:
             meta = _load_meta(eid)
             faces = int(meta.get(str(fidx), 0) or 0)
-            if faces > best_faces:
+            if faces == 1 and len(resolve_persons(person_str, alias_map)) == 1:
+                if solo is None:
+                    solo = load_frame_b64(eid, fidx)
+            elif faces > best_faces:
                 b64 = load_frame_b64(eid, fidx)
                 if b64:
                     best, best_faces = b64, faces
+        if solo:
+            return solo
         if best:
             return best
-        for eid, fidx, _ in frames:
+        for eid, fidx, _ts, _ps in frames:
             b64 = load_frame_b64(eid, fidx)
             if b64:
                 return b64
@@ -888,7 +898,7 @@ elif page == "👤 人物管理":
             is_named = key in real_to_label
             label = real_to_label.get(key, key)
             feat = feat_map.get(label) or '暂无特征描述'
-            photo = person_photo(frames)
+            photo = person_photo(key, frames)
             first_ts = parse_ts(frames[0][2])
             last_ts = parse_ts(frames[-1][2])
             first_str = first_ts.strftime('%m-%d %H:%M') if first_ts else '--'