Sony Group Corporation

Sony Corporation

Michiro Hirai

Nikolaos Georgis

Hiroaki Nishimura

Nobutaka Mitsuma

Shigeki Tatematsu

The present disclosure relates to an information processing apparatus and information processing method of more easily capturing image in accordance with more various situations. An imaging device including an imaging function unit and an imaging range variable unit is controlled on the basis of vehicle information that is information regarding a vehicle. For example, on the basis of vehicle information obtained in a patrol car, such as vehicle location and position information, vehicle speed information, vehicle operation information, or vehicle attached equipment information, imaging of a subject by the imaging device provided to a flying body and flight by the flying body are controlled. The present disclosure can be applied to, for example, an information processing apparatus, an image processing apparatus, a communication apparatus, an electronic device, an information processing method, or the like.

Information processing apparatus and information processing method

The present disclosure relates to an information processing device and method, and a program that enable processing, related to management of a vehicle, to be performed even in a case where no vehicle registration number is recognizable. Feature information of a vehicle is extracted from a captured image on the basis of a detection result of a number plate of the vehicle in the captured image, and the feature information of the vehicle extracted by the feature extraction unit is registered in a predetermined database. The present disclosure can be applied to, for example, an information processing device, an image processing device, a communication device, an electronic device, an information processing method, a program, and the like.

Information processing device and method

An electronic device includes circuitry that determines probability map information for a first image, based on application of a neural network model on the first image. The neural network model is trained to detect one or more objects based on a plurality of images associated with the one or more objects. The probability map information indicates a probability value for each pixel in the first image. A region corresponding to the one or more objects is detected in the first image based on the probability map information. A first set of sub-images is determined from the detected region, based on application of a stochastic optimization function on the probability map information. The one or more objects are detected from a second set of sub-images of the first set of sub-images, based on application of the neural network model on the second set of sub-images.

Growing community of inventors

Tokyo, Japan

Michiro Hirai