Hitachi-kokusai Electric Inc.

Yohei Akimoto

Kazunari Iwanaga

Wataru Ito

Junichi Togashi

Atsushi Sassa

Muneaki Yamaguchi

Yuichiro Komiya

Tomomi Takada

Takashi Yoshida

Masaya Okada

Yu Sugimura

Hiroaki Nakakita

The structure examination support systemin the present example is provided with a GNSS receiverthat measures the current location, an image pick-up devicethat photographs a target, and a calculating devicethat controls the image pick-up device, where these are equipped in a moving body. The computing devicecontrols the image pick-up deviceon the basis of the installation location of the target that has been set in advance, the current location that has been measured by the GNSS receiver, and the moving speed of the vehicle so as to repeat photography a number of times, and carries out an image recognition process on each of the plurality of images outputted from the image pick-up device, and thus selects an image where the target is photographed and that is appropriate for the examination.

Photography system

The purpose of the present invention is to provide a technology which adaptively switches video analysis methods according to a congestion situation within a video, and which carries out a suitable video analysis by a limited computational volume. Provided is an image processing device, wherein a congestion estimation unitestimates a congestion situation within a video which is acquired from an image input unit. A control unitswitches methods for video analysis according to the congestion situation. In a situation of low congestion, an image analysis unit for use in normal situationscarries out the video analysis by a basic method. In a situation of high congestion, an image analysis unit for use in congested situationscarries out a high-precision video analysis, such as an analysis which spans a plurality of frames.

Image processing device

The present invention provides a system for visualizing the congestion degree of an entire facility using a monitoring camera. The system detects a crowd from a monitoring camera video and derives the magnitude (number of people) of the crowd from the edge amount thereof, and thereby estimates a congestion state in a range of camera video. The system also calculates a human flow (amount of movement of people) on the basis of a number of passing people counter and the magnitude and movement speed of the crowd, etc., and estimates the number of people in an area other than the range of camera video on the basis of a modeled crowd behavior pattern. The model is constructed by selecting a distribution function and a parameter thereof by a statistical model selection technique such as a Bayesian Information Criteria (BIC). The congestion state is plotted on a map, allowing the congestion state of an area of interest to be grasped at once.

Congestion-state-monitoring system

Provided is a suspicious person detection method. First, a normal similar facial image search is carried out. Next, facial images, which are detected automatically from the input images and specified manually, are specified to be determined. Next, similar faces are searched for limited time on a time axis on the database. Next, the number of search results that distance between the features is lower than predetermined value is calculated and it is determined that the number of appearances is large and a possibility of a prowling person is high if the number of cases is large, and otherwise a possibility of prowling person is low. Last, a similarity between a facial image of a pre-registered residents and a facial image of a person whose number is large is calculated, and it is re-determined that the person is residents if the similarity is high, regardless of the determination.

Person search method and device for searching person staying on platform

Growing community of inventors

Tokyo, Japan

Yohei Akimoto