Abstract: Implementations provide visual cryptographic techniques that obscure text using pixel manipulation and multiple visual layers. The visual cryptography techniques implemented in embodiments manipulate the pixel values of an image that define target text and generate multiple layers using the manipulated pixel values. The generated layers are configured such that successive and rapid display of the layers generates an obscured version of the image and a legible version of the target text when viewed by a person. However, implementations generate and/or display the layers such that the target text is illegible in captured image(s) or video of the obscured version of the image. Thus, embodiments provide an obscured version of an image with legible target text when viewed by a person, but the target text is illegible in captured image(s) or video of the obscured version of the image due to insufficient information capture.

Abstract: This description describes a system for identifying individuals within a digital file. The system accesses a digital file describing the movement of unidentified individuals and detects a face for an unidentified individual at a plurality of locations in the video. The system divides the digital file into a set of segments and detects a face of an unidentified individual by applying a detection algorithm to each segment. For each detected face, the system applies a recognition algorithm to extract feature vectors representative of the identity of the detected faces which are stored in computer memory. The system applies a recognition algorithm to query the extracted feature vectors for target individuals by matching unidentified individuals to target individuals, determining a confidence level describing the likelihood that the match is correct, and generating a report to be presented to a user of the system.

Abstract: Implementations provide visual cryptographic techniques that obscure text using pixel manipulation and multiple visual layers. The visual cryptography techniques implemented in embodiments manipulate the pixel values of an image that define target text and generate multiple layers using the manipulated pixel values. The generated layers are configured such that successive and rapid display of the layers generates an obscured version of the image and a legible version of the target text when viewed by a person. However, implementations generate and/or display the layers such that the target text is illegible in captured image(s) or video of the obscured version of the image. Thus, embodiments provide an obscured version of an image with legible target text when viewed by a person, but the target text is illegible in captured image(s) or video of the obscured version of the image due to insufficient information capture.

Abstract: This description describes a system for identifying individuals within a digital file. The system accesses a digital file describing the movement of unidentified individuals and detects a face for an unidentified individual at a plurality of locations in the video. The system divides the digital file into a set of segments and detects a face of an unidentified individual by applying a detection algorithm to each segment. For each detected face, the system applies a recognition algorithm to extract feature vectors representative of the identity of the detected faces which are stored in computer memory. The system applies a recognition algorithm to query the extracted feature vectors for target individuals by matching unidentified individuals to target individuals, determining a confidence level describing the likelihood that the match is correct, and generating a report to be presented to a user of the system.

Abstract: This description describes a system for identifying individuals within a digital file. The system accesses a digital file describing the movement of unidentified individuals and detects a face for an unidentified individual at a plurality of locations in the video. The system divides the digital file into a set of segments and detects a face of an unidentified individual by applying a detection algorithm to each segment. For each detected face, the system applies a recognition algorithm to extract feature vectors representative of the identity of the detected faces which are stored in computer memory. The system applies a recognition algorithm to query the extracted feature vectors for target individuals by matching unidentified individuals to target individuals, determining a confidence level describing the likelihood that the match is correct, and generating a report to be presented to a user of the system.