Mitsubishi Electric Corporation

Naohiro Shibuya

Yoshimi Moriya

Kazuo Sugimoto

Akira Minezawa

Mengxiong Wang

Kazuyuki Miyazawa

Hidetoshi Mishima

Hideaki Maehara

Tomoya Sawada

Momoyo Hino

An image processing device () includes an object detecting unit () that detects objects each appearing in a corresponding one of pieces of image data; an object tracking unit () that tracks the detected objects in a time direction; a descriptor generating unit () that generates feature descriptors of the respective objects on the basis of results of the detection and results of the tracking of the objects; a data recording control unit () that forms a database from the generated feature descriptors and the pieces of image data of the objects corresponding to the feature descriptors; an image retrieving unit () that retrieves, from the database, object groups that match a retrieval condition and form a pair of object groups appearing in pieces of image data obtained by capturing different regions, each of the object groups corresponding to a corresponding one of the regions; a feature extracting unit () that extracts a feature to be used for checking, from pieces of image data and feature descriptors of each of the retrieved object groups; and a determining unit () that determines whether the object groups forming the pair of object groups are identical to each other, by checking the extracted features against each other.

Image processing device and image processing method

A congestion degree estimating unit () which estimates, for each image frame, a congestion degree of an area in which each object detected by an object detecting unit () is present is provided. An object selecting unit () refers to an estimation result of the congestion degree by the congestion degree estimating unit () for each image frame, and selects an object present in an area the congestion degree of which is equal to or lower than a first threshold out of one or more objects detected by the object detecting unit ().

Object tracking device and object tracking method

An image feature map generating unit () generates, on the basis of feature amounts extracted from a plurality of images successively captured by a camera (), an image feature map which is an estimated distribution of the object likelihood on each of the images. An object detecting unit () detects an object on the basis of the image feature map generated by the image feature map generating unit ().

Object detection device and object detection method

Growing community of inventors

Tokyo, Japan

Naohiro Shibuya