human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "human following for wheeled robot with monocular pan tilt camera"):
  Abstract: Human following on mobile robots has witnessed significant advances due to its potentials for real-world applications. Currently most human following systems are equipped with depth sensors to obtain distance information between human and robot, which suffer from the perception requirements and noises. In this paper, we design a wheeled mobile robot system with monocular pan-tilt camera to follow human, which can stay the target in the field of view and keep following simultaneously. The system consists of fast human detector, real-time and accurate visual tracker, and unified controller for mobile robot and pan-tilt camera. In visual tracking algorithm, both Siamese networks and optical flow information are exploited to locate and regress human simultaneously. In order in perform following with a monocular camera, the constraint of human height is introduced to design the controller. In experiments, human following are conducted and analysed in simulations and a real robot platform, which demonstrate the effectiveness and robustness of the overall system.

Includes members:
  Member "detection and tracking of small objects in sparse 3d laser range data":
    also connected through other hyperedges:
      (none)
  Member "exploiting offset guided network for pose estimation and tracking":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "fastpose towards real time pose estimation and tracking via scale normalized multi task networks")
  Member "state aware re identification feature for multi target multi camera tracking":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "building computationally efficient and well generalizing person re identification models with metric learning")
  Member "fastpose towards real time pose estimation and tracking via scale normalized multi task networks":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "15 keypoints is all you need")
  Member "optical flow based real time moving object detection in unconstrained scenes":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "high performance visual object tracking with unified convolutional networks")
  Member "action machine rethinking action recognition in trimmed videos":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "mimetics towards understanding human actions out of context")
  Member "attention guided unified network for panoptic segmentation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "towards bounding box free panoptic segmentation")
  Member "an efficient optical flow based motion detection method for non stationary scenes":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "moving objects detection with a moving camera a comprehensive review")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.RO(Robotics)