Abstract:
Directions are provided to a location in an indoor space in response to receiving a request from a mobile device. First, a map of the indoor space is processed to identify navigable areas in the indoor space. A distance transform is then executed on the map as part of a process to generate a directed graph. The directed graph includes nodes that correspond to points in the indoor space and paths that correspond to routes between the nodes. Next, a navigation table is generated based on the directed graph to identify a shortest route from each node to at least one other node. In response to a request for directions to a location in the indoor space, the navigation table is accessed to identify a route to the requested location. The identified route is then provided to a mobile device such that an end user may navigate to the location.
Abstract:
Methods of and systems for determining a location of a mobile device using transmitted audio signals is provided. In an embodiment, meta data included in the audio signals may also be used. In an embodiment, a characteristic, such as a received signal strength, may be measured to determine the location of the mobile device.
Abstract:
Aspects of this disclosure provide systems and methods for generating models of a wireless network environment in an indoor space which may be used to predict an indoor location. The disclosure relates to collecting wireless network access point identifier information and power level observed at various locations are collected to generate various signal maps. The signal maps may be used to generate models of the indoor space. In one example, a voting model may use a probability distribution of a plurality of signal maps in order to identify a location with a highest probability of overlap with current signals received at a client device. Once a location has been identified, it may be used to assist with any number of navigational functions, such as providing turn by turn directions to another indoor location, for example, a conference room or exit, or simply providing information about the current location.
Abstract:
A system and method for determining the location of a mobile device is provided. Such a method includes receiving an interior map, determining a first location to be an absolute location of a mobile communication device, locating the absolute location at a first position on the interior map, relocating the mobile communication device to a second location, estimating the second location of the mobile communication device based on an output of one or more sensors and modifying, using a computer-based system, the estimated second location based on a comparison of the estimated second location to the interior map.
Abstract:
Embodiments generally relate to summarizing a photo album in a social network system. In one embodiment, a method includes grouping photos into a plurality of groups of photos, and selecting a plurality of representative photos, where each representative photo represents a respective group from the plurality of groups, where the selecting is based on a quality score of each of the photos, and where each quality score is based on different types of attributes. The method also includes enabling the plurality of representative photos to be shared.
Abstract:
An indoor area may be localized to provide end users with a mobile-accessible map to guide the end user in navigating the indoor area. A preliminary version of a map of the indoor area to be localized is processed to identify different navigable routes within the indoor area. A user may access the processed map and collect sensory data using the mobile device while moving along any of the navigable routes. The different sensory data that is collected at the same moment in time may be associated based on the location of the mobile device when the data is collected. The localized map is then generated with visual indications of the locations of the corresponding sensory data. The end user may then access the localized map on a mobile device to navigate the indoor area and to locate specific points of interest corresponding to the sensory data.
Abstract:
Embodiments generally relate to summarizing a photo album in a social network system. In one embodiment, a method includes grouping photos into a plurality of groups of photos, and selecting a plurality of representative photos, where each representative photo represents a respective group from the plurality of groups, where the selecting is based on a quality score of each of the photos, and where each quality score is based on different types of attributes. The method also includes enabling the plurality of representative photos to be shared.
Abstract:
Aspects of the present disclosure provide systems and methods for generating models of a wireless network environment in an indoor space which may be used to predict an indoor location. The disclosure relates to collecting wireless network access point identifier information and power level observed at various locations are collected to generate various signal maps. The signal maps may be used to generate models of the indoor space. In one example, a voting model may use a probability distribution of a plurality of signal maps in order to identify a location with a highest probability of overlap with current signals received at a client device. Once a location has been identified, it may be used to assist with any number of navigational functions, such as providing turn by turn directions to another indoor location, for example, a conference room or exit, or simply providing information about the current location.
Abstract:
System and method for visually tracking a target object silhouette in a plurality of video frames under very general conditions. The tracker does not make any assumption about the object or the scene. The tracker works by approximating, in each frame, a PDF (probability distribution function) of the target's bitmap and then estimating the maximum a posteriori bitmap. The PDF is marginalized over all possible motions per pixel, thus avoiding the stage in which optical flow is determined. This is an advantage over other general-context trackers that do not use the motion cue at all or rely on the error-prone calculation of optical flow. Using a Gibbs distribution with a first order neighborhood system yields a bitmap PDF whose maximization may be transformed into that of a quadratic pseudo-Boolean function, the maximum of which is approximated via a reduction to a maximum-flow problem.
Abstract:
Directions are provided to a location in an indoor space in response to receiving a request from a mobile device. First, a map of the indoor space is processed to identify navigable areas in the indoor space. A distance transform is then executed on the map as part of a process to generate a directed graph. The directed graph includes nodes that correspond to points in the indoor space and paths that correspond to routes between the nodes. Next, a navigation table is generated based on the directed graph to identify a shortest route from each node to at least one other node. In response to a request for directions to a location in the indoor space, the navigation table is accessed to identify a route to the requested location. The identified route is then provided to a mobile device such that an end user may navigate to the location.