Intel Corporation

Ziilabs Inc. Ltd.

Aaron DeBattista

Michael E Kounavis

Disclosed are apparatus and methods for denoising a video stream of a camera. A current frame of the video stream and a temporally adjacent frame of the video stream that has been previously spatially and temporally denoised are obtained. The current frame is first spatially denoised, while preserving edges in such current frame to generate a plurality of spatially denoised pixels for the current frame. A particular pixel of the current frame is then both spatially and temporally denoised based on a weighted averaging of the particular pixel's associated spatially denoised pixel from the current frame and a plurality of pixels from the temporally adjacent frame that have already been spatially and temporally denoised.

Systems and methods for reducing noise in video streams

Technologies for performing two-dimensional gesture recognition are described. In some embodiments the technologies include systems, methods, and computer readable media for performing two-dimensional gesture recognition on one or more input images. In some embodiments the technologies use an object detector to detect one or more suspected gestures in an input image, and to generate a first set of hits correlating to detected gestures in the input image. At least a portion of false positive hits may then be removed by the application of one or more filters to the first set of hits. Custom hand gesture filters are also described.

Technologies for robust two-dimensional gesture recognition

A mechanism is described for facilitating intelligent detection of body segmentation for enhanced gesture recognition on computing devices according to one embodiment. A method of embodiments, as described herein, includes receiving an image, dividing the image into components representing regions of the image, determining orientation and a centroid relating to each component, facilitating generation of hypothesis cuts within hysteresis points, and calculating a first ratio based on an average width of the hypothesis cuts and a length of a first axis of a component. The method may further include segmenting the component at one of the hypothesis cuts to determine an intermediate cut of the component, if the first ratio is greater than a predetermined threshold. The method may further include iteratively segmenting the component to determine a final cut.

Growing community of inventors

Surrey, United Kingdom

Aaron DeBattista