code: def re_activate(self, new_track, frame_id, new_id=False):
      self.mean, self.covariance = self.kalman_filter.update(
          self.mean, self.covariance, self.tlwh_to_xyah(new_track.tlwh)
      )
  
      self.update_features(new_track.curr_feat)
      self.tracklet_len = 0
      self.state = TrackState.Tracked
      self.is_activated = True
      self.frame_id = frame_id
      if new_id:
          self.track_id = self.next_id()
  
imports: import numpy
  from collections import deque, OrderedDict
  from ..matching import jde_matching
  from ppdet.core.workspace import register, serializable
label_desc: Use image node_id 6 for calling the STrack obj's underlying member method code with example usage: obj.re_activate(new_track, frame_id, new_id) without return types