Hitachi-kokusai Electric Inc.

Junichi Togashi

Wataru Ito

Kazunari Iwanaga

Yohei Akimoto

Atsushi Sassa

Masaya Okada

Muneaki Yamaguchi

Yuichiro Komiya

Tomomi Takada

Miyuki Fujii

Takashi Yoshida

Hiroaki Nakakita

An abandoned item detection unit detects an abandoned item shown in an image taken by any of a plurality of imaging devices. A person identification unit specifies the image directly before or directly after the appearance of the abandoned item as an image of abandonment timing, and identifies at least one person shown in the image of abandonment timing as a target person. A person search unit searches for an image showing the target person from among the images respectively taken by any of the plurality of imaging devices. A result display unit outputs a display showing the movement of the target person on the screen of a user terminal on the basis of the imaging device that has taken each image showing the target person and the imaging time at which each image showing the target person was taken.

Image monitoring 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

A system detects a candidate for an object which intrudes based on images of a visible light camera and a far-infrared camera that monitor the sea, further derives a size, a velocity, an intrusion direction, and linearity, and identifies the object to some extent. Also, the system distinguishes between a boat, a human, and a floating matter based on the luminances or the like in a far-infrared image. In addition, the system observes the periodicity of normal waves on the sea surface at a location without any object by performing the Fourier transform on the image. The accuracy of identification of an object is improved based on the correlation between the motion of waves in a normal state and the motion of the object.

Marine intrusion detection system and method

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Tokyo, Japan

Junichi Togashi