Electronics and Telecommunications Research Institute

Sungwon Byon

Hyunho Park

Eunjung Kwon

Yong Tae Lee

Yong-Tae Lee

HyoJin Kim

Eui Suk Jung

Eui-Suk Jung

Eun Jung Kwon

Dong Man Jang

Won-Jae Shin

Provided is a report data convergence analysis method for a disaster response. The method includes receiving first input data including report input data of a reporter, reception input data of a receiver, and report document input data that is prepared by the receiver after a disaster situation ends, storing the first input data in a first database, generating a plurality of first learning models through a learning process based on the first input data stored in the first database, and when the report input data of the reporter is received, performing convergence analysis on the plurality of generated first learning models to provide disaster situation information.

Report data convergence analysis system and method for disaster response

Provided are an object tracking system and an object tracking method. The object tracking system includes: a terminal identifier and reference time providing module configured to receive an identifier of a terminal and a reference time for tracking an object corresponding to the identifier; a cross-CCTV detection module configured to detect a cross-CCTV for the terminal by using a CCTV installation information and a location of the terminal before the reference time; a basic image detection module configured to detect an object repeatedly appearing in the cross-CCTV as a basic image; a current-CCTV detection module configured to detect a current-CCTV currently recording the terminal by detecting a location and a moving direction of the terminal after the reference time; an object detection module configured to detect an object appearing in the current-CCTV based on the location and the moving direction of the terminal after the reference time; and an object tracking module configured to track an object corresponding to the identifier by determining whether the detected object from the current-CCTV and the basic image.

Object tracking system and object tracking method

The present invention relates to dangerous situation detection method and apparatus using a time series analysis of user behaviors. The dangerous situation detection method and apparatus using a time series analysis of user behaviors according to the present invention includes recognizing user behaviors in a time series manner using sensor sensing data, setting stability interval periods and reflecting stability factors on the user behaviors recognized in the time series manner for each of the stability interval periods to set a stability level, and determining a danger level on the basis of the recognized user behaviors and the set stability level.

Dangerous situation detection method and apparatus using time series analysis of user behaviors

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Gwangju-si, South Korea

Sungwon Byon