Newness and distinctiveness is claimed in the features of ornamentation as shown inside the broken line circle in the accompanying representation.

Display screen or portion thereof with graphical user interface

There is provided an information processing device including a display section configured to display a first object in a virtual three-dimensional space having a depth direction of a display screen, an operation section configured to acquire an operation for moving the first object in at least the depth direction, and a controller configured to move the first object on the display screen in accordance with the acquired operation, to execute, when a region of the first object overlaps a first overlap determination region, a first process to one or both of the first and second objects, and to execute, when the region of the first object overlaps a second overlap determination region, a second process to one or both of the first and second objects. The first overlap determination region may be a region obtained by extending the second overlap determination region in at least the depth direction.

Information processing device, information processing method, and program

Methods, systems and media are described for computer-assisted video surveillance. Methods may support detection of moving persons in video frames, extraction of features of the detected moving persons and identification of which detected moving persons are likely matches to a person of interest. Identification of the likely matches may be determined using an attribute-based search, and/or using a specific person-based search. The method may include using likely matches confirmed as images of the person of interest to reconstruct a path of the person of interest.

Assisted video surveillance of persons-of-interest

A system and method for connecting a social network to a geospatial data repository, comprising: accepting geospatial data from a user; linking the geospatial data to the user in the social network; and allowing the geospatial data to be searched and/or combined with other geospatial data from the user or other users in the social network.

A method and system for integrating a social network and data repository to enable map creation

A technology can be provided for change invariant scene recognition of an environment by an agent that uses image sensors to capture images. An example method can include grouping the images into situation image sets to form an image database. A navigation image can be captured by the agent at the agent's current location. Another operation can be searching through images by separately loaded situation image set to identify images that are a probable match for the navigation image. Error values can be computed between the navigation image and situation image sets. A probability can be calculated that situation image sets are to be used as a relevant situation image set based on the error values. Then the relevant situation image set can be searched for matching purposes with the navigation image while the error value is below a defined threshold.

Change invariant scene recognition by an agent

A method detects roads in an aerial image of ground topology by determining low-level features, such as intensities and gradients, for each pixel in the aerial image, determining middle-level features, such as an orientation for each pixel from the low-level features, and determining high-level features from the middle-level features. Each high-level feature is assigned a probability, and the probabilities of the high-level features for each pixel are normalized and aggregated to a single probability that the pixel is associated with a road.

Detecting roads in aerial images using feature-based classifiers

A method tracks non-rigid objects in a video acquired of a cluttered scene by a camera. The method uses a particle filter. The tracking includes the following steps: motion transition estimation, contour deformation detection, and contour regulation. The method uses a dynamic affine transform model and employs the particle filter to estimate the parameters of the model. The method generates a probabilistic map of deformation for tracking the contour of the object followed by a projection step to constrain or regulate the contour in a contour subspace.

Subspace projection based non-rigid object tracking with particle filters

PROBLEM TO BE SOLVED: To provide a fully automated method for detecting roads in aerial images SOLUTION: This method detects roads in an aerial image of ground topology by determining low-level features such as intensity and a gradient for each pixel in the aerial image, determining middle-level features such as an orientation for each pixel from the low-level features, and determining high-level features from the middle-level features Each high-level feature is assigned with a probability, and the probabilities of the high-level features for each pixel are normalized and aggregated to a single probability that the pixel is associated with a road COPYRIGHT: (C)2006,JPO&NCIPI

Jie Shao

Papers

Detecting roads in aerial images using feature-based classifiers

Subspace projection based non-rigid object tracking with particle filters

Method for detecting road in aerial image of ground topology