An image processing device includes a stitching processing unit that composites composition source images generated from captured images under a preset processing condition to generate a composite image, a screen generation unit that generates a screen and outputs the composite image to a display input device, a touch operation determination unit that determines a camera image region to be adjusted based on a detection result of a touch operation on the screen and determines an adjustment item according to an operation mode of the touch operation, and a processing condition setting unit that sets a temporary processing condition related to the camera image region to be adjusted. The stitching processing unit generates the composition source image from the captured image of the camera corresponding to the camera image region to be adjusted under the temporary processing condition and updates the composite image by compositing the composition source images.

A method and an apparatus for storing a resource and an electronic device are provided. The method includes: extracting a resource with a storage size exceeding a preset capacity threshold, and backing up the extracted resource to a cloud server; obtaining link address information of the resource backed up to the cloud server; performing a clip processing on the extracted resource, and encapsulating the link address information corresponding to the extracted resource into the clip-processed resource; and replacing the extracted resource stored in an electronic device with the encapsulated resource.

A system for processing digital images comprising: at least one remote hardware processor; and at least one device, comprising at least one processing circuitry configured for: receiving from at least one image sensor, electrically coupled to the processing circuitry, at least one digital image captured by the at least one image sensor; partitioning at least one object, identified in the at least one digital image, into a plurality of object segments; replacing in the at least one digital image each of the plurality of object segments with a schematic segment, illustrating respective object segment, to produce at least one schematic image; and sending the at least one schematic image to the remote hardware processor; wherein the remote hardware processor is adapted to: receiving the at least one schematic image from the at least one device; analyzing the at least one schematic image to identify at least one behavioral pattern.

An information processing device performs processing on document image data. The document image data includes first image data of a plurality of images and second image data. The first image data undergoes character recognition processing. The second image data does not undergo character recognition processing. The information processing device includes a detecting section, an extracting section, and a processing section. The detecting section detects the first image data from the document image data. The extracting section extracts the first image data from the document image data. The processing section generates composite image data by compositing the images of the first image data and performs character recognition on the composite image data.

An apparatus includes a capture device and a processor. The capture device may be configured to generate a plurality of video frames corresponding to an interior view of a vehicle. The processor may be configured to perform operations to detect objects in the video frames, detect (a) occupants of the vehicle and (b) seats of the vehicle based on the objects detected in the video frames, determine a status of a seatbelt for each of the occupants and select a reaction based on (a) a state of the seatbelt and (b) characteristics of the occupants. The reaction may be selected to encourage proper usage of the seatbelt based on the characteristics of the occupants. The characteristics may be determined by performing the operations on each of the occupants.

An apparatus includes a capture device and a processor. The capture device may be configured to generate a plurality of video frames corresponding to an interior view of a vehicle. The processor may be configured to perform operations to detect objects in the video frames, detect occupants of the vehicle and seats of the vehicle based on the objects detected in the video frames, determine an age of the occupants based on characteristics of the occupants and select a reaction if the age of the occupant is below a threshold for the seat. The threshold may be based on a location of the seat within the vehicle. The characteristics may be determined by performing the operations on each of the occupants.

There is provided a 2-stage moving average filter for a navigation device including a delta regulator and an N-taps average circuit. The delta regulator is used as a first stage to receive motion delta at a varied frequency, and combine or split the received motion delta to output a regulated motion delta at a fixed frequency. The N-taps average circuit receives and averages N regulated motion delta and outputs the averaged motion delta at a fixed frequency.

A system and method for analysis of complex spatio-temporal data utilize complimentary general approaches to data analysis: information field theory (IFT), which reformulates Bayesian theory in terms of field theory in order to incorporate the important and often overlooked conditions that ensure continuity of underlying parameter spaces that are to be estimated from discrete data, and entropy spectrum pathways (ESP), which uses the principle of maximum entropy to incorporate prior information on the structure of the underlying space in order to estimate measures of connectivity.

A scanning device that has a housing including an opaque wall configured to position an imaging device (e.g., still or video camera) to capture an image of a tangible object, a staging area (e.g., transparent wall, opening) opposite of the opaque wall, and an opaque body extending between the opaque wall and the staging area. The scanning device has a chamber that enables the imaging device to capture the image relative to the staging area. A focal distance from the imaging device to the staging area enables capturing a physical characteristic (e.g., a color, size, shape, texture, pattern) of the tangible object in the image at a resolution that enables ascertaining an attribute (e.g., authenticity, purity, or quality) of the tangible object. The opaque body can have an expandable structure to increases or decrease a focal distance to the tangible object.

In order to acquire recognition environment information impacting the recognition accuracy of a recognition engine, an information processing device 100 comprises a detection unit 101 and an environment acquisition unit 102. The detection unit 101 detects a marker, which has been disposed within a recognition target zone for the purpose of acquiring information, from an image captured by means of an imaging device which captures images of objects located within the recognition target zone. The environment acquisition unit 102 acquires the recognition environment information based on image information of the detected marker. The recognition environment information is information representing the way in which a recognition target object is reproduced in an image captured by the imaging device when said imaging device captures an image of the recognition target object located within the recognition target zone.