A new pedestrian dataset for supervised learning

@article{Overett2008ANP,
  title={A new pedestrian dataset for supervised learning},
  author={Gary Overett and Lars Petersson and Nathaniel C Brewer and Leif Andersson and Niklas Pettersson},
  journal={2008 IEEE Intelligent Vehicles Symposium},
  year={2008},
  pages={373-378}
}
This paper presents a comparative analysis of different pedestrian dataset characteristics. The main goal of the research is to determine what characteristics are desirable for improved training and validation of pedestrian detectors and classifiers. The work focuses on those aspects of the dataset which affect classification success using the most common boosting methods. Dataset characteristics such as image size, aspect ratio, geometric variance and the relative scale of positive class… CONTINUE READING

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