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Patent

Systems And Methods For Processing An Image For Target Tracking

TLDR
In this paper, a depth image of a scene may be received, observed, or captured by a device, and the image may then be processed and a refined image may be rendered based on the processed image.
Abstract
An image such as a depth image of a scene may be received, observed, or captured by a device. The image may then be processed. For example, the image may be downsampled, a shadow, noise, and/or a missing potion in the image may be determined, pixels in the image that may be outside a range defined by a capture device associated with the image may be determined, a portion of the image associated with a floor may be detected. Additionally, a target in the image may be determined and scanned. A refined image may then be rendered based on the processed image. The refined image may then be processed to, for example, track a user.

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Citations
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Patent

Analysis of three-dimensional scenes

TL;DR: In this article, a method for processing data includes receiving a depth map of a scene containing a humanoid form, which is processed so as to identify three-dimensional (3D) connected components in the scene, each connected component including a set of the pixels that are mutually adjacent and have mutually-adjacent depth values.
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Image processing apparatus, image processing method and program

TL;DR: In this paper, a plurality of addition means and image processing means are configured to perform second and subsequent addition processing, and generate an image of the second resolution as a processing result by performing the addition processing for a predetermined number of times.
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Extraction of skeletons from 3D maps

TL;DR: In this article, a method for processing data including receiving a temporal sequence of depth maps of a scene containing a humanoid form having a head was proposed, where a digital processor processes at least one of the depth maps so as to find a location of the head and estimates dimensions of the humanoid form based on the location.
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Day and Night Detection Based on One or More of Illuminant Detection, Lux Level Detection, and Tiling

TL;DR: In this article, the IR filter is not interposed between the lens assembly and the sensor array, and the camera receives ambient light that is not filtered by IR filter, determining whether the received ambient light is due to a light source other than an IR light source.
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Simulating an infrared emitter array in a video monitoring camera to construct a lookup table for depth determination

TL;DR: In this paper, a lookup table for estimating spatial depth in a scene is generated by identifying subsets of illuminators of a camera system that has a 2-dimensional array of image sensors and illuminants in fixed locations relative to the array, and partitions the image sensors into a plurality of pixels.
References
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Journal ArticleDOI

C ONDENSATION —Conditional Density Propagation forVisual Tracking

TL;DR: The Condensation algorithm uses “factored sampling”, previously applied to the interpretation of static images, in which the probability distribution of possible interpretations is represented by a randomly generated set.
Journal ArticleDOI

Efficient Graph-Based Image Segmentation

TL;DR: An efficient segmentation algorithm is developed based on a predicate for measuring the evidence for a boundary between two regions using a graph-based representation of the image and it is shown that although this algorithm makes greedy decisions it produces segmentations that satisfy global properties.
Journal ArticleDOI

Pfinder: real-time tracking of the human body

TL;DR: Pfinder is a real-time system for tracking people and interpreting their behavior that uses a multiclass statistical model of color and shape to obtain a 2D representation of head and hands in a wide range of viewing conditions.
Patent

Ergonomic man-machine interface incorporating adaptive pattern recognition based control system

TL;DR: An adaptive interface for a programmable system, for predicting a desired user function, based on user history, as well as machine internal status and context, is presented for confirmation by the user, and the predictive mechanism is updated based on this feedback as mentioned in this paper.
Journal ArticleDOI

Visual interpretation of hand gestures for human-computer interaction: a review

TL;DR: A fraction of the recycle slurry is treated with sulphuric acid to convert at least some of the gypsum to calcium sulphate hemihydrate and the slurry comprising hemihYDrate is returned to contact the mixture of phosphate rock, phosphoric acid and recycle Gypsum slurry.