Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes

@article{Htike2014EfficientND,
  title={Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes},
  author={Kyaw Kyaw Htike and David C. Hogg},
  journal={2014 22nd International Conference on Pattern Recognition},
  year={2014},
  pages={654-659}
}
Pedestrian detection is an essential step in many important applications of Computer Vision. Most detectors require manually annotated ground-truth to train, the collection of which is labor intensive and time-consuming. Generally, this training data is from representative views of pedestrians captured from a variety of scenes. Unsurprisingly, the performance of a detector on a new scene can be improved by tailoring the detector to the specific viewpoint, background and imaging conditions of… CONTINUE READING