human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "flying objects detection from a single moving camera"
  Abstract: We propose an approach to detect flying objects such as UAVs and aircrafts when they occupy a small portion of the field of view, possibly moving against complex backgrounds, and are filmed by a camera that itself moves.

Connected through hyperedge HE-1 (induced by source paper "a novel technique for rejecting non aircraft artefacts in above horizon vision based aircraft detection"):
  with members:
    - "quickest detection of intermittent signals with application to vision based aircraft detection"

Connected through hyperedge HE-2 (induced by source paper "privaros a framework for privacy compliant drones"):
  with members:
    - "sros securing ros over the wire in the graph and through the kernel"

Connected through hyperedge HE-3 (induced by source paper "sok security and privacy in the age of drones threats challenges solution mechanisms and scientific gaps"):
  with members:
    - "game of drones detecting streamed poi from encrypted fpv channel"
    - "dolphinattack inaudible voice commands"
    - "flight dynamics based recovery of a uav trajectory using ground cameras"
    - "using deep networks for drone detection"
    - "dr0wned cyber physical attack with additive manufacturing"

Connected through hyperedge HE-4 (induced by source paper "machine learning based delay aware uav detection and operation mode identification over encrypted wi fi traffic"):
  with members:
    - "classification under streaming emerging new classes a solution using completely random trees"
    - "device fingerprinting in wireless networks challenges and opportunities"
    - "optimization with sparsity inducing penalties"

Connected through hyperedge HE-5 (induced by source paper "below horizon aircraft detection using deep learning for vision based sense and avoid"):
  with members:
    - "segnet a deep convolutional encoder decoder architecture for image segmentation"
    - "delving deep into rectifiers surpassing human level performance on imagenet classification"

Connected through hyperedge HE-6 (induced by source paper "drone detection using depth maps"):
  with members:
    - "vision based real time aerial object localization and tracking for uav sensing system"
    - "airsim high fidelity visual and physical simulation for autonomous vehicles"
    - "using deep networks for drone detection"
    - "yolo9000 better faster stronger"

Connected through hyperedge HE-7 (induced by source paper "flight dynamics based recovery of a uav trajectory using ground cameras"):
  with members:
    - "a comparative study of object trackers for infrared flying bird tracking"
    - "multiple object tracking a literature review"
    - "kinodynamic rrt optimal motion planning for systems with linear differential constraints"

Connected through hyperedge HE-8 (induced by source paper "direct prediction of 3d body poses from motion compensated sequences"):
  with members:
    - "initialization strategies of spatio temporal convolutional neural networks"
    - "robust estimation of 3d human poses from a single image"

Question: Please tell me which class the center node 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.CV(Computer Vision and Pattern Recognition)