A general framework for object detection

@article{Papageorgiou1998AGF,
  title={A general framework for object detection},
  author={Constantine Papageorgiou and Michael Oren and Tomaso A. Poggio},
  journal={Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271)},
  year={1998},
  pages={555-562}
}
This paper presents a general trainable framework for object detection in static images of cluttered scenes. [] Key Method This representation overcomes both the problem of in-class variability and provides a low false detection rate in unconstrained environments. We demonstrate the capabilities of the technique in two domains whose inherent information content differs significantly. The first system is face detection and the second is the domain of people which, in contrast to faces, vary greatly in color…

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