A two-staged approach to vision-based pedestrian recognition using Haar and HOG features

@article{Geismann2008ATA,
  title={A two-staged approach to vision-based pedestrian recognition using Haar and HOG features},
  author={Philip Geismann and Gerardo Schneider},
  journal={2008 IEEE Intelligent Vehicles Symposium},
  year={2008},
  pages={554-559}
}
This article presents a two-staged approach to recognize pedestrians in video sequences on board of a moving vehicle. The system combines the advantages of two feature families by splitting the recognition process into two stages: In the first stage, a fast search mechanism based on simple features is applied to detect interesting regions. The second stage uses a computationally more expensive, but also more accurate set of features on these regions to classify them into pedestrian and non… CONTINUE READING
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