Abstract: A facility comprising methods and systems for discovering travel patterns based at least in part on data collected from a plurality of dynamic and/or mobile sensor devices is disclosed. The mobile sensor devices sense or detect the presence of nearby devices and record information about each detection, such as the location, the date and time, and an identifier of the detected device and provide this information to the facility. Thus, the facility can leverage the communication capabilities of existing mobile devices and networks to provide a broad, wide-ranging, scalable sensor network that detects the presence of individual devices. By recording and analyzing the encounter data received from various mobile sensor devices, the facility can ascertain or estimate the path of devices and their associated users. Given the availability of mobile devices and mobile networks, the disclosed techniques can be deployed without a substantial investment in infrastructure and maintenance.

Abstract: Systems and methods for detecting and tracking objects, such as motor vehicles, within video data. The systems and method analyze video data, for example, to count objects, determine object speeds, and track the path of objects without relying on the detection and identification of background data within the captured video data. The detection system uses one or more scan lines to generate a spatio-temporal map. A spatio-temporal map is a time progression of a slice of video data representing a history of pixel data corresponding to a scan line. The detection system detects objects in the video data based on intersections of lines within the spatio-temporal map. Once the detection system has detected an object, the detection system may record the detection for counting purposes, display an indication of the object in association with the video data, determine the speed of the object, etc.

Abstract: Systems and methods for detecting and tracking objects, such as motor vehicles, within video data. The systems and method analyze video data, for example, to count objects, determine object speeds, and track the path of objects without relying on the detection and identification of background data within the captured video data. The detection system uses one or more scan lines to generate a spatio-temporal map. A spatio-temporal map is a time progression of a slice of video data representing a history of pixel data corresponding to a scan line. The detection system detects objects in the video data based on intersections of lines within the spatio-temporal map. Once the detection system has detected an object, the detection system may record the detection for counting purposes, display an indication of the object in association with the video data, determine the speed of the object, etc.