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This project proposes and evaluates strategies based on Stacked Supervised Auto-Encoders (SSAE) for face representation in video surveillance applications.

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SSAE

Open the Matlab application. Set the path to the folder containing the code. Enter "DatabasePreparationVideo" in the matlab command prompt. Select the video to extract the feature and store in database. Exit the DatabasePreparationVideo window. Enter "Main_Gui_Face_Recogn_latest" in the matlab command prompt. Click on run and select the video to be tested. This application will recognize face from video and match with database. If found matching video, it will provide the matching result with accuracy.

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This project proposes and evaluates strategies based on Stacked Supervised Auto-Encoders (SSAE) for face representation in video surveillance applications.

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