Panasonic Corporation

Namsoo Joo

Hongbing Li

Kuo Chu Lee

Hasan Timucin Ozdemir

Lipin Liu

Juan Yu

Sameer Kibey

Supraja Mosali

A multi-perspective context sensitive behavior assessment system includes an adaptive behavior model builder establishing a real-time reference model that captures intention of motion behavior. It operates by modeling outputs of multiple user defined scoring functions with respect to multiple references of application specific target areas of interest. The target areas have criticality values representing a user's preference regarding the target areas with respect to one another. The outputs of the scoring functions are multiplied by the critically values to form high level sequences of representation that are communicated to the user.

System architecture and process for assessing multi-perspective multi-context abnormal behavior

A surveillance system generally includes a data capture module that collects sensor data. A scoring engine module receives the sensor data and computes at least one of an abnormality score and a normalcy score based on the sensor data, at least one dynamically loaded learned data model, and a learned scoring method. A decision making module receives the at least one of the abnormality score and the normalcy score and generates an alert message based on the at least one of the abnormality score and the normalcy score and a learned decision making method to produce progressive behavior and threat detection.

Method and system for scoring surveillance system footage

Growing community of inventors

Someset, NJ, United States of America

Namsoo Joo