Comparing Images Using the Hausdorff Distance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift, Mode Seeking, and Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using GPS to learn significant locations and predict movement across multiple users
Personal and Ubiquitous Computing
Extracting places from traces of locations
ACM SIGMOBILE Mobile Computing and Communications Review
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields
International Journal of Robotics Research
Learning and inferring transportation routines
Artificial Intelligence
StarTrack: a framework for enabling track-based applications
Proceedings of the 7th international conference on Mobile systems, applications, and services
SpinRadar: a spontaneous service provision middleware for place-aware social interactions
Personal and Ubiquitous Computing
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In this paper, we describe how a user's location history (recorded by tracking the user's mobile device location with his permission) is used to extract the user's location patterns. We describe how we compute the user's commonly visited places (including home and work), and commute patterns. The analysis is displayed on the Google Latitude history dashboard [7] which is only accessible to the user.