Abstract:
A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.
Abstract:
Improved high-speed adaptive equalization is presented that may involve converting an optical signal into an electrical signal and performing equalization by (i) filtering the electrical signal with an analog filter according to at least one filter coefficient to produce a filtered output, (ii) generating an error signal from the filtered output according to an error function, (iii) providing at least one control signal to the analog filter for adjusting the at least one filter coefficient, (iv) detecting a relationship between a change in the at least one filter coefficient and a change in the error signal, and (v) adjusting the at least one filter coefficient according to the relationship to minimize the error signal. The least one coefficient may comprise a plurality of coefficients, and the relationship may be a gradient estimate having multiple components, each determined by varying only one of the coefficients and detecting a resulting change in the error signal.
Abstract:
Apparatuses and methods are presented that use a direct synthesis approach using layers in order to directly generate a virtual view from a pair of images. In one embodiment, a range space is discretized into a plurality of layers. For each layer, the first input image and the second input image are warped to the layer. A matching score is then determined for each pixel in the new view based on the warped input images. For each pixel in the virtual view, a best layer is determined. After the best layer has been determined, the color of the pixel in that layer is used for that pixel in the generated view.
Abstract:
A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.
Abstract:
A data reduction and representation method reduces the number of graphic articulation parameters (GAPs) that must be stored or transmitted to animate an object. A number of GAPs are identified that can be interpolated from other GAPs. A directed graph is created which depicts the identities of the “derived” GAPs, the “defining” GAPs from which derived GAPs can be interpolated, and the relationship between them. The GAPs reside at nodes on the graph which are interconnected with directed links that indicate the “parent” to “child” relationships, with each link representing an interpolation function which defines how the derived GAPs are interpolated from the defining GAPs. The graph and interpolation functions are conveyed to a decoder. Frames containing defining GAPs are then sent to the decoder, which performs the interpolations as directed by the graph and using the interpolation functions to reconstruct the derived GAPs.
Abstract:
A beat assisted temporal pressure password authentication method in which a user enters a password by pressing a touch interface, and holding the pressure within one of multiple pressure ranges for passing certain number of beats, for one or more times. A password is then produced as a sequence of the pressure range code and the count of the beats passed in that pressure range.
Abstract:
Techniques are disclosed to enable generation of a high-resolution image from any generic low-resolution image. In one described implementation, a method includes extracting, at a training phase, a plurality of primal sketch priors from training data. At a synthesis phase, the plurality of primal sketch priors are utilized to improve a low-resolution image by replacing one or more low-frequency primitives extracted from the low-resolution image with corresponding ones of the plurality of primal sketch priors.
Abstract:
A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.
Abstract:
A graphical password authentication arrangement and method display a grid on a display upon a user's request to access a restricted resource. The graphical password authentication arrangement requires the user to enter his or her access password by selecting one or more intersections on the grid on the display with an input device. A processing means determines whether to grant the user to access the restricted resource by comparing the access password entered with a corresponding file password for the user, which is stored in a storage means.
Abstract:
A video surveillance system uses rule-based reasoning and multiple-hypothesis scoring to detect predefined behaviors based on movement through zone patterns. Trajectory hypothesis spawning allows for trajectory splitting and/or merging and includes local pruning to managed hypothesis growth. Hypotheses are scored based on a number of criteria, illustratively including at least one non-spatial parameter. Connection probabilities computed during the hypothesis spawning process are based on a number of criteria, illustratively including object size. Object detection and probability scoring is illustratively based on object class.