Abstract: Function definition information is prepared in a system. The function definition information is information representing a correspondence relationship among a software-based function, a vehicle ID of a vehicle, a hardware configuration for implementing a function, and a software configuration for implementing a function. The system performs a preliminary determination including a determination of a relationship between one or a plurality of user-desired functions constituting a user-desired function group of a user and a hardware configuration of a target vehicle based on the function definition information. For each of the one or more functions specified in the preliminary determination, in order to implement the function in the target vehicle, the system develops a software configuration corresponding to the function in a hardware configuration corresponding to the function in the target vehicle.

Abstract: The present technology relates to a controller and a control method capable of providing an imaging system which achieves cost reduction. A control unit controls a first imaging direction of a first imaging unit and a second imaging direction of a second imaging unit as a direction different from the first imaging direction in accordance with a situation of an object associated with a first image captured by the first imaging unit or a second image captured by the second imaging unit. For example, the present technology is applicable to a lecture capture system.

Abstract: The present technology relates to a controller and a control method capable of providing an imaging system which achieves cost reduction. A control unit controls a first imaging direction of a first imaging unit and a second imaging direction of a second imaging unit as a direction different from the first imaging direction in accordance with a situation of an object associated with a first image captured by the first imaging unit or a second image captured by the second imaging unit. For example, the present technology is applicable to a lecture capture system.

Abstract: The present technology relates to a controller and a control method capable of providing an imaging system which achieves cost reduction. A control unit controls a first imaging direction of a first imaging unit and a second imaging direction of a second imaging unit as a direction different from the first imaging direction in accordance with a situation of an object associated with a first image captured by the first imaging unit or a second image captured by the second imaging unit. For example, the present technology is applicable to a lecture capture system.

Abstract: A pre-determination process is executed for setting a person determination detection frame in a moving body detection frame surrounding a moving body region detected from an image and determining whether the image in the person determination detection frame is a person and a final determination process of analyzing a distribution state in a moving body detection frame determined to include a person in the pre-determination process and finally determining whether the image in the person determination detection frame is a person based on an analysis result. In the final determination process, an occupancy rate in a specific region in the moving body detection frame determined to include a person in the pre-determination process is calculated, and the image in the person determination detection frame is determined to be a person based on the occupancy rate.

Abstract: A pre-determination process is executed for setting a person determination detection frame in a moving body detection frame surrounding a moving body region detected from an image and determining whether the image in the person determination detection frame is a person and a final determination process of analyzing a distribution state in a moving body detection frame determined to include a person in the pre-determination process and finally determining whether the image in the person determination detection frame is a person based on an analysis result. In the final determination process, an occupancy rate in a specific region in the moving body detection frame determined to include a person in the pre-determination process is calculated, and the image in the person determination detection frame is determined to be a person based on the occupancy rate.

Abstract: The present technology relates to a controller and a control method capable of providing an imaging system which achieves cost reduction. A control unit controls a first imaging direction of a first imaging unit and a second imaging direction of a second imaging unit as a direction different from the first imaging direction in accordance with a situation of an object associated with a first image captured by the first imaging unit or a second image captured by the second imaging unit. For example, the present technology is applicable to a lecture capture system.

Abstract: A scale transformation adjustment unit performs a scale transformation corresponding to a change of an image range with respect to an actual image by using a scale transformation by an optical zoom of an image pickup unit that generates the actual image, and generates a coordinate transformation matrix including the scale transformation.

Abstract: Provided are an apparatus and a method for executing a person detection process from an image. A divisional small region setting window is set and an image in the window is determined to be a person based on the number of moving body pixels of each divisional small region, and a first person candidate point is set in the window when the image is determined to be a person. A person determination process is executed based on an image feature quantity in a person determination detection frame, and a second person candidate point is set in the person determination detection frame when it is determined to be a person. A distribution state in a moving body detection frame of the person determination detection frame is analyzed, and an image in the person determination detection frame is determined to be a person based on an analysis result.

Abstract: [Object] Provided are an apparatus and a method for executing a person detection process from an image through a lightweight calculation with a high degree of accuracy. [Solution] A pre-determination process of setting a person determination detection frame in a moving body detection frame surrounding a moving body region detected from an image and determining whether or not the image in the person determination detection frame is a person and a final determination process of analyzing a distribution state in a moving body detection frame of the person determination detection frame determined to include a person in the pre-determination process and finally determining whether or not the image in the person determination detection frame is a person on the basis of an analysis result are executed.

Abstract: [Object] Provided are an apparatus and a method for executing a person detection process from an image through a lightweight calculation with a high degree of accuracy. [Solution] A divisional small region setting window is set in a moving body detection frame surrounding a moving body region detected from the image, it is determined whether or not an image in the window is a person on the basis of the number of moving body pixels of each divisional small region, and a first person candidate point is set in the window in a case in which the image is determined to be a person. Further, a person determination detection frame including the first person candidate point or a neighbor pixel thereof is set, a person determination process is executed on the basis of an image feature quantity in the person determination detection frame, and a second person candidate point is set in the person determination detection frame in a case in which it is determined to be a person.

Abstract: The present disclosure relates to an image processing device that reduces the computation load in image processing, an image processing method, and a program. A rough-detection component detecting unit detects markers shown in an image. A marker selecting unit selects a predetermined number of markers from among the markers detected by the rough-detection component detecting unit. A specific-detection component detecting unit detects the predetermined number of markers selected by the marker selecting unit in a more specific manner than the rough-detection component detecting unit. An estimating/processing unit estimates positions and postures of the markers based on results of the detection performed by the specific-detection component detecting unit. The present technique can be applied to an image processing device that combines the background of a person captured by a camera with another background image.

Abstract: A coordinate transformation matrix generation unit 41 generates a coordinate transformation matrix corresponding to an image range obtained from a position and a direction of a viewpoint in a virtual space and the viewpoint. A scale transformation adjustment unit 42 performs a scale transformation corresponding to a change of an image range with respect to an actual image by using a scale transformation by an optical zoom of an image pickup unit that generates the actual image, and generates a coordinate transformation matrix including the scale transformation. An image synthesis unit 46 uses the coordinate transformation matrix generated by the coordinate transformation matrix generation unit 41 to perform coordinate transformation of a virtual image, uses the coordinate transformation matrix generated by the scale transformation adjustment unit 42 to perform coordinate transformation of the actual image, and synthesizes the virtual image and the actual image after the coordinate transformations.

Abstract: The present invention relates to an image processing device, an image processing method, and a program, which combine an image with less sense of incongruity. A high accuracy marker detector and a high sensitivity marker detector each detects a marker on an image by a different detection method. The high accuracy marker detector detects the position and the posture of the marker with higher accuracy, and the high sensitivity marker detector has a lower accuracy to detect the marker than the high accuracy marker detector, but detects the position of the marker with high sensitivity by prioritizing detecting the marker. A detection result selector selects the optimal detection result from a plurality of the detection results. The present technique is applicable to, for example, an image processing device which replaces the marker with another image.

Abstract: According to an illustrative embodiment, an imaging system is provided. The system includes a first imaging unit; a second imaging unit; and an objective optical system optically coupled to the first imaging unit and the second imaging unit, wherein the objective optical system has a first direction along which light is refracted and a second direction along which light is refracted differently.

Abstract: There is provided an image processing device including a feature point extraction unit that extracts feature points from an input image, a feature amount calculation unit that calculates feature amounts of the feature points, an image processing unit that processes the marker image to transform the feature amounts of non-distinguishing feature points into feature amounts of distinguishing feature points when the feature points extracted from a marker image included in the input image are not distinguishing, and a marker image generation unit that generates a new marker image based on the processing result.

Abstract: The present disclosure relates to an image processing device that reduces the computation load in image processing, an image processing method, and a program. A rough-detection component detecting unit detects markers shown in an image. A marker selecting unit selects a predetermined number of markers from among the markers detected by the rough-detection component detecting unit. A specific-detection component detecting unit detects the predetermined number of markers selected by the marker selecting unit in a more specific manner than the rough-detection component detecting unit. An estimating/processing unit estimates positions and postures of the markers based on results of the detection performed by the specific-detection component detecting unit. The present technique can be applied to an image processing device that combines the background of a person captured by a camera with another background image.

Abstract: The present invention relates to an image processing device, an image processing method, and a program, which combine an image with less sense of incongruity. A high accuracy marker detector and a high sensitivity marker detector each detects a marker on an image by a different detection method. The high accuracy marker detector detects the position and the posture of the marker with higher accuracy, and the high sensitivity marker detector has a lower accuracy to detect the marker than the high accuracy marker detector, but detects the position of the marker with high sensitivity by prioritizing detecting the marker. A detection result selector selects the optimal detection result from a plurality of the detection results. The present technique is applicable to, for example, an image processing device which replaces the marker with another image.

Abstract: An image transmission method includes a step of inputting a plurality of different source moving images sequentially. The image transmission method also includes a step of creating a main image for each frame from one of the plurality of different source images. The image transmission method also includes a step of creating a secondary image for each frame from a differential image that expresses the difference between the source moving image from which the main image was created and another source moving image in a different frame. The image transmission method also includes a step of creating an integrated image by combining the main image and the secondary image. The image transmission method also includes a step of transmitting the integrated image to a receiving side.

Abstract: There is provided an image processing device including a feature point extraction unit that extracts feature points from an input image, a feature amount calculation unit that calculates feature amounts of the feature points, an image processing unit that processes the marker image to transform the feature amounts of non-distinguishing feature points into feature amounts of distinguishing feature points when the feature points extracted from a marker image included in the input image are not distinguishing, and a marker image generation unit that generates a new marker image based on the processing result.