A Camera Network Tracking (CamNeT) Dataset and Performance Baseline

@article{Zhang2015ACN,
  title={A Camera Network Tracking (CamNeT) Dataset and Performance Baseline},
  author={Shu Zhang and Elliot Staudt and Tim Faltemier and Amit K. Roy-Chowdhury},
  journal={2015 IEEE Winter Conference on Applications of Computer Vision},
  year={2015},
  pages={365-372}
}
In this paper, we propose a novel Non-Overlapping Camera Network Tracking Dataset (CamNeT) for evaluating multi-target tracking algorithms. The dataset is composed of five to eight cameras covering both indoor and outdoor scenes at a university. This dataset consists of six scenarios. Within each scenario are challenges relevant to lighting changes, complex topographies, crowded scenes, and changing grouping dynamics. Persons with predefined trajectories are combined with persons with random… CONTINUE READING

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