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 "A Scale Adaptive Kernel Correlation Filter Tracker with Feature Integration"):
  Abstract: Although the correlation filter-based trackers achieve the competitive results both on accuracy and robustness, there is still a need to improve the overall tracking capability. In this paper, we presented a very appealing tracker based on the correlation filter framework. To tackle the problem of the fixed template size in kernel correlation filter tracker, we suggest an effective scale adaptive scheme. Moreover, the powerful features including HoG and color-naming are integrated together to further boost the overall tracking performance. The extensive empirical evaluations on the benchmark videos and VOT 2014 dataset demonstrate that the proposed tracker is very promising for the various challenging scenarios. Our method successfully tracked the targets in about 72% videos and outperformed the state-of-the-art trackers on the benchmark dataset with 51 sequences.

Includes members:
  Member "Robust object tracking via sparsity-based collaborative model":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "Sparse Representation for Computer Vision and Pattern Recognition")
  Member "Online Object Tracking: A Benchmark":
    also connected through other hyperedges:
      - Hyperedge HE-2 (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