This is a demo of the crowd counting system from the CVPR 2008 paper, “Privacy Preserving Crowd Monitoring: Counting People without People Models or Tracking”. The video is available in Quicktime format (H.264).

There are more recent results from the TIP 2012 journal paper here.

### Pedestrian Database (2000 frames with ground truth)

This is a demo of the crowd counting system on the pedestrian dataset (2000 frames). The system was trained on 800 frames, and tested on 1200 frames.

#### Crowd Counting Demo

An example video frame is shown below. The error indicator summarizes the performance of the system with respect to the ground-truth. The different colors indicate the following: (green dot) the estimate is within one standard-deviation of the groundtruth; (yellow dot) the estimate is within two standard-deviations; (red dot) the estimate is outside 2 standard-deviations. Finally, the frames marked as “training set” were used to train the GP regression model, and the region-of-interest is also highlighted. The video is sped up to twice the normal frame rate.

[mov (9.4 MB)]

#### Crowd Count Plot

These are plots of the crowd count over time. The gray regions are the two-standard-deviations error bars of the Gaussian process regression (i.e. the confidence of the crowd estimate). Click the image to see a larger version.

### Pedestrian Database (1 hour)

This is a demo of the crowd counting system on an hour-long pedestrian video. The system was trained on the 2000 frames with ground-truth, and tested on the remaining 50 minutes video. The video is sped up by 2 times, and each clip is about 3-5 minutes long.

Note that this segmentation required no reinitialization at any point, or any other type of manual supervision. The sequences contain a fair variability of traffic density, various outlying events (e.g. bicyclies, skateboarders, or small vehicles, pedestrians changing direction, etc.) and variable environmental conditions (e.g. varying clouds and shadows).

#### Training Set Video

[mov (9.4 MB)] |

#### Test Set Video

[mov (15 MB)] |
[mov (16 MB)] |
[mov (12 MB)] |

[mov (10 MB)] |
[mov (14 MB)] |

#### Crowd Count Plot

This is a plot of the crowd count for all the video. The bars indicate when the system has low confidence in the count estimates (i.e. when the standard-deviation of the Gaussian process is over 3). Click the image for a larger version.