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:
An image pickup apparatus, image processing apparatus and corresponding program and method are disclosed. In one example, a second captured image acquired from another apparatus is aligned with a first captured image. Image stabilization is carried out in response to a positional relation between the captured images. For example, when overlapping between the captured images is equal to or smaller than an image stabilization limitation threshold value, the image stabilization is stopped or a correction range is limited for at least one of the captured images. When the amount of overlapping is larger than the image stabilization limitation threshold value, the image stabilization for both of the captured images is carried out without limitation. The captured images are aligned with each other by using the captured image with limited image stabilization, or both captured images where stabilization is carried out without limitation, thereby producing a panoramic image.
Abstract:
An image pickup apparatus, image processing apparatus and corresponding program and method are disclosed. In one example, a second captured image acquired from another apparatus is aligned with a first captured image. Image stabilization is carried out in response to a positional relation between the captured images. For example, when overlapping between the captured images is equal to or smaller than an image stabilization limitation threshold value, the image stabilization is stopped or a correction range is limited for at least one of the captured images. When the amount of overlapping is larger than the image stabilization limitation threshold value, the image stabilization for both of the captured images is carried out without limitation. The captured images are aligned with each other by using the captured image with limited image stabilization, or both captured images where stabilization is carried out without limitation, thereby producing a panoramic image.
Abstract:
[Object] To select an effect process appropriately according to a feature of an image.[Solution] Provided is an image processing device including a flow vector detection unit configured to detect flow vectors of pixels in an input image, and an effect selection unit configured to select a process of effect to the input image, on the basis of a pattern of the flow vectors.
Abstract:
[Object] To select an effect process appropriately according to a feature of an image.[Solution] Provided is an image processing device including a flow vector detection unit configured to detect flow vectors of pixels in an input image, and an effect selection unit configured to select a process of effect to the input image, on the basis of a pattern of the flow vectors.
Abstract:
[Object] To support a user such that the user can easily adjust installation states of a plurality of imaging devices.[Solution] Provided is an information processing device including an adjustment instruction specification unit configured to specify an instruction regarding adjustment by extracting or arranging elements of the adjustment in accordance with a level of priority of each of the elements for shifting current installation states of a plurality of imaging devices toward appropriate installation states of the plurality of imaging devices.
Abstract:
[Object] To select an effect process appropriately according to a feature of an image.[Solution] Provided is an image processing device including a flow vector detection unit configured to detect flow vectors of pixels in an input image, and an effect selection unit configured to select a process of effect to the input image, on the basis of a pattern of the flow vectors.
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:
An image pickup apparatus, image processing apparatus and corresponding program and method are disclosed. In one example, a second captured image acquired from another apparatus is aligned with a first captured image. Image stabilization is carried out in response to a positional relation between the captured images. For example, when overlapping between the captured images is equal to or smaller than an image stabilization limitation threshold value, the image stabilization is stopped or a correction range is limited for at least one of the captured images. When the amount of overlapping is larger than the image stabilization limitation threshold value, the image stabilization for both of the captured images is carried out without limitation. The captured images are aligned with each other by using the captured image with limited image stabilization, or both captured images where stabilization is carried out without limitation, thereby producing a panoramic image.