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Identascan Corporation, progress report.
Identascan Corporation, progress report..
About this update from Icbs Ltd
[{"type":"text","content":"For release to Journalist and the Financial and Business sector Identascan Corporation, progress report. New York, Montreal, September 12, 2011 Identascan Corporation and partner–ICBS Ltd., (OTCPK: ICBTD), announce progress report. Identascan Corporation headed by Dr. Li Liu who is in the process of developing a computer program that will allow the identification of individuals by their body movements. \"Each individual's body movement is as personal as their fingerprint\", said Identascan's President Dr. Li Liu. Dr.Liu holds Post-doctoral Fellowships in Bioresource Engineering , Mathematics, a Ph D. in Computer Science, and a B.Sc. in Computer Science. The first step for the Identascan project \"Development of human identification systems for visual surveillance in security-sensitive environments\" has done by the end of August 2011. In this step, the framework for the human identification systems is developed and the data for different biometrics is collected for the future research. The detail work is described in the following.• Development of the framework for human identification systems. There are three main stages in the proposed framework: Detection/initialization, Multi-target tracking, and Recognition. In the detection stage, persons in the frame stream will be located by detecting the human body and head and then roughly verified by face and/or gait analysis. Once the target persons are decided, the systems will run into the tracking stage. More biometric analysis and human pose and motion analysis will be involved in this stage to determine the objects (i.e. humans) of interest. The objects of interest are the input of the stage of recognition and the individuals will be identified based on biometrics. If no object of interest is found in the current frame stream, the systems will re-initialize and repeat the three stages.• Data collection. Different biometrics data has been collected from Asia and North America which includes face and gait. The data will be used to develop tracking algorithms and recognition methods for the human i...