human: Given a node-centered hypergraph: <hypergraph>, where nodes represent authors and hyperedges represent groups of authors who co-authored the same paper.

Details of the hypergraph:
Center node: "Towards Efficient Feedback Control in Streaming Computer Vision Pipelines"
  Abstract: Stream processing is currently an active research direction in computer vision. This is due to the existence of many computer vision algorithms that can be expressed as a pipeline of operations, and the increasing demand for online systems that process image and video streams. Recently, a formal stream algebra has been proposed as an abstract framework that mathematically describes computer vision pipelines. The algebra defines a set of concurrent operators that can describe a pipeline of vision tasks, with image and video streams as operands. In this paper, we extend this algebra framework by developing a formal and abstract description of feedback control in computer vision pipelines. Feedback control allows vision pipelines to perform adaptive parameter selection, iterative optimization and performance tuning. We show how our extension can describe feedback control in the vision pipelines of two state-of-the-art techniques.

Connected through hyperedge HE-1 (induced by source paper "Keeping the vehicle on the road: A survey on on-road lane detection systems"):
  with members:
    - "LANA: a lane extraction algorithm that uses frequency domain features"
    - "Connected Car: Technologies, Issues, Future Trends"
    - "End-To-End Ego Lane Estimation Based on Sequential Transfer Learning for Self-Driving Cars"

Question: Please tell me which research area the center author belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science