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)
      )
      if self.use_reid:
          self.update_features(new_track.curr_feat)
      self.track_len = 0
      self.state = TrackState.Tracked
      self.is_activated = True
      self.frame_id = frame_id
      if new_id:  # update track id for the object class
          self.track_id = self.next_id(self.cls_id)
  
imports: import numpy
  from collections import defaultdict
  from collections import deque, OrderedDict
  from ..matching import jde_matching
label_desc: Use image node_id 8 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