Small Target Detection combining Foreground and Background Manifolds

@inproceedings{Razakarivony2013SmallTD,
  title={Small Target Detection combining Foreground and Background Manifolds},
  author={S{\'e}bastien Razakarivony and Fr{\'e}d{\'e}ric Jurie},
  booktitle={MVA},
  year={2013}
}
This paper focuses on the detection of small objects ( e.g. vehicules in aerial images) on complex backgrounds ( e.g. natural backgrounds). A key contribution of the paper is to show that, in such situations, learning a target model and a background model separately is better than training a unique discriminative model. This contrasts with standard object detection approaches for which objects vs. background classifiers use the same types of visual features/models for both. The second… CONTINUE READING

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