human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge groups authors who co-authored the same paper.

Details of the hypergraph:
Center hyperedge (induced by source paper "Clustering Local Motion Estimates for Robust and Efficient Object Tracking"):
  Abstract: We present a new short-term tracking algorithm called Best Displacement Flow (BDF). This approach is based on the idea of ‘Flock of Trackers’ with two main contributions. The first contribution is the adoption of an efficient clustering approach to identify what we term the ‘Best Displacement’ vector, used to update the object’s bounding box. This clustering procedure is more robust than the median filter to high percentage of outliers. The second contribution is a procedure that we term ‘Consensus-Based Reinitialization’ used to reinitialize trackers that have previously been classified as outliers. For this reason we define a new tracker state called ‘transition’ used to sample new trackers in according to the current inlier trackers.

Includes members:
  Member "Online Object Tracking: A Benchmark":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Object Tracking Benchmark")

Question: Please tell me which research area the co-authored paper (i.e., the source paper of the center hyperedge) belongs to. The 4 classes are: Computer science, Mathematics, Engineering, Economics, Psychology, Business. Directly output the class name.

gpt: Computer science