Quantifying contextual information for object detection

@article{Zheng2009QuantifyingCI,
  title={Quantifying contextual information for object detection},
  author={Wei-Shi Zheng and Shaogang Gong and Tao Xiang},
  journal={2009 IEEE 12th International Conference on Computer Vision},
  year={2009},
  pages={932-939}
}
Context is critical for minimising ambiguity in object detection. In this work, a novel context modelling framework is proposed without the need of any prior scene segmentation or context annotation. This is achieved by exploring a new polar geometric histogram descriptor for context representation. In order to quantify context, we formulate a new context risk function and a maximum margin context (MMC) model to solve the minimization problem of the risk function. Crucially, the usefulness and… CONTINUE READING