TR2003-90

Detecting Pedestrians Using Patterns of Motion and Appearance


    •  Viola, P.; Jones, M.J.; Snow, D., "Detecting Pedestrians Using Patterns of Motion and Appearance", IEEE International Conference on Computer Vision (ICCV), October 2003, vol. 2, pp. 734-741.
      BibTeX Download PDF
      • @inproceedings{Viola2003oct,
      • author = {Viola, P. and Jones, M.J. and Snow, D.},
      • title = {Detecting Pedestrians Using Patterns of Motion and Appearance},
      • booktitle = {IEEE International Conference on Computer Vision (ICCV)},
      • year = 2003,
      • volume = 2,
      • pages = {734--741},
      • month = oct,
      • url = {http://www.merl.com/publications/TR2003-90}
      • }
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  • Research Areas:

    Computer Vision, Machine Learning


This paper describes a pedestrian detection system that integrates image intensity information with motion information. We use a detection style algorithm that scans a detector over two consecutive frames of a video sequence. The detector is trained (using AdaBoost) to take advantage of both motion and appearance information to detect a walking person. Past approaches have built detectors based on motion information or detectors based on appearance information, but ours is the first to combine both sources of information in a single detector. The implementation described runs at about 4 frames/second, detects pedestrians at very small scales (as small as 20x15 pixels), and