People Tracking Lab

Two boys playing outsideAutomatic behavior measurement of multiple people is easier if you know where they are and where they have been. The People Tracking lab enables you to collect this data in a controlled environment, using turn-key hard- and software solutions. Whether you work on consumer behavior research, visitor behavior studies, spatial cognition or develop interactive systems, the People Tracking Lab will aid you in your work. It is equipped with various indoor and outdoor tracking systems, such as GPS, Ultra Wide Band, video tracking or stereo camera sensors.

Benefits

  • Ready-to-use lab setup for tracking people
  • Reliable tracking based on different tracking technologies.
  • Increase efficiency of your research: automated tracking helps you to get rid of laborious manual video annotation.
  • The People Tracking Lab offers a complete, integrated solution for tracking and analyzing spatial behavior, ready to be used in your
    projects.

Your research solution
The People Tracking Lab uses TrackLab, the software tool for recognition and analysis of spatial behavior and the design of interactive systems. It allows you to work with any number of subjects, in any spatial context, tracked by any type of positioning system. The People Tracking Lab will aid you in the complete process of your work on spatial behavior. After you decide on the tracking system most suitable for your work, TrackLab lets you import the collected tracking data real-time as well as offline. The collected data can be visualized, processed and analysed. Furthermore, you can create interactive systems based on the generated data, which is available real-time.

Collecting data
Collecting location and movement data can be done in numerous ways, for this reason the People Tracking Lab is equipped with different tracking solutions:

  • Outdoor — Outdoor tracking can be done in urban environments or in nature. The most common tracking method for outdoor studies is GPS, although other tracking systems can be used as well. The People Tracking Lab supports any type of GPS receiver, taking advantage of data augmentation services (such as WAAS, PPS or EGNOS) if available. These systems offer you real-time or off-line information on the location and movement of your test subjects.
  • Indoor — Indoor tracking can be applied in settings ranging from a controlled laboratory to a real-life environment. The People Tracking Lab includes ultra-wideband sensors and tags, stereo camera tracking, video based people tracking. Functionality differs strongly between tracking systems; some systems need tags or markers while others do not, some systems work real-time while others work off-line. The best set-up depends on the study being conducted and we are happy to advise you regarding the ideal solution.

If you are using live data input, you can start a new track using a remote control app on a tablet. This makes it possible to work with the system semi automatically, so that during an experiment it is not necessary to have anyone next to the computer.

Visualization and analysis
For analysis of your collected data, use the People Tracking Lab, allowing you to visualize tracks on a map, both indoor as outdoor environments. You can visualize the tracks of multiple objects simultaneously. Visualizations include various trajectory styles and heatmaps. You can define regions of interest to compute zone-related statistics or to automatically detect when a subject enters or leaves a specific zone. Besides detecting spatial events, you can define movement classifiers; for example, you can automatically label behavior as standing still, walking, or running based on the speed of the subject. The lab provides you with a wide range of statistics relevant for analysis of location and movement, including various speed and distance variables. Statistics can be calculated for complete tracks or for specific zones or movement classes. The analysis parameters include distance and time (distance moved and speed), location (time in zone and distance to point), path shape (heading, turn angle, and meandering), and movement behavior (speed-based classification) parameters.