Abstract: Methods, devices, and systems for detecting retail shrinkage using behavior analytics are described herein. The retail shrinkage may be due to, for example, sweethearting, although embodiments of the present disclosure are not so limited and can be used to detect other forms of retail shrinkage as well. One or more device embodiments include a memory, and a processor coupled to the memory. The processor is configured to execute executable instructions stored in the memory to receive data associated with behavior of an individual and use the data associated with the behavior of the individual to determine whether the behavior of the individual is irregular to detect retail shrinkage.

Abstract: The present disclosure provides methods, machine readable media, and systems for object alignment from a 2-dimensional (2-D) image of the object. One or more embodiments include defining a 2-D shape in the 2-D image and a 3-dimensional (3-D) shape in a 3-D model of the object, mapping a number of corresponding points on the 2-D and 3-D shapes, defining the 2-D and 3-D shapes with a number of triangles, wherein a number of vertices of the number of triangles correspond to the number of points, subdividing the number of triangles defining the 2-D and 3-D shapes into a plurality of subdivided triangles that include a plurality of new vertices, and reconstructuring a 3-D image from the 2-D image by assigning a number of z-coordinates from the plurality of subdivided triangles of the 3-D shape to the plurality of subdivided triangles of the 2-D shape to create a 3-D reconstructured shape.

Abstract: A method and system include receiving an image to process for an image recognition system, determining a quality of the received image, and creating a point distribution model for an active shape model, wherein the point distribution model has a number of points defining an outline of the image, the number of points being determined as a function of the quality of the image. A further method includes selecting a target local appearance model for fitting a point as a function of the determined quality of the received image to determine the location of the point. Yet a further method includes matching the probe image to a plurality of target images using a quality driven cascade classifier.

Abstract: A system and method track a face moving through multiple frames of a video sequence. A predicted position of a face in a video frame is obtained. A search is performed to determine appearance model similarity values of a detected face. Motion and appearance probabilities of the detected face are obtained, and the detected face in the video frame is associated with a track as a function of a joint probabilistic data association filter.

Abstract: An approach for providing setpoint optimization for air handling units. An area for such optimization may incorporate choosing a thermal comfort level index, finding a zone air properties target area and computing a supply air properties target area. Beyond the present approach, an outdoor air portion may be optimized, a feasible psychrometric path found, supply airflow versus temperature optimized, and a controller run to meet setpoints.

Abstract: The present disclosure provides methods, machine readable media, and systems for object alignment from a 2-dimensional (2-0) image of the object. One or more embodiments include defining a 2-D shape in the 2-D image and a 3-dimensional (3-D) shape in a 3-D model of the object, mapping a number of corresponding points on the 2-D and 3-D shapes, defining the 2-D and 3-D shapes with a number of triangles, wherein a number of vertices of the number of triangles correspond to the number of points, subdividing the number of triangles defining the 2-D and 3-D shapes into a plurality of subdivided triangles that include a plurality of new vertices, and reconstructuring a 3-D image from the 2-D image by assigning a number of z-coordinates from the plurality of subdivided triangles of the 3-D shape to the plurality of subdivided triangles of the 2-D shape to create a 3-D reconstructured shape.

Abstract: A system and method include decomposing via a computer an ocular region into several filtered images of different orientation and scale, using the computer to combine the decomposed images for each scale, using a computer executed classifier for each scale, matching across different quality images, and using a computer, constructing a matching score by combining the scale scores using adaptively weighted sum for each scale.

Abstract: A method and system include receiving an image to process for an image recognition system, determining a quality of the received image, and creating a point distribution model for an active shape model, wherein the point distribution model has a number of points defining an outline of the image, the number of points being determined as a function of the quality of the image. A further method includes selecting a target local appearance model for fitting a point as a function of the determined quality of the received image to determine the location of the point. Yet a further method includes matching the probe image to a plurality of target images using a quality driven cascade classifier.

Abstract: A system and method include decomposing via a computer an ocular region into several filtered images of different orientation and scale, using the computer to combine the decomposed images for each scale, using a computer executed classifier for each scale, matching across different quality images, and using a computer, constructing a matching score by combining the scale scores using adaptively weighted sum for each scale.

Abstract: A system that transforms information into fuzzy observable states. These states may be matched against a mapping table which indicates which observable state admits or excludes particular faults. This information may be processed over time when in each time instant the admitted or excluded faults are used for updating the rate for each fault.

Abstract: An approach for providing setpoint optimization for air handling units. An area for such optimization may incorporate choosing a thermal comfort level index, finding a zone air properties target area and computing a supply air properties target area. Beyond the present approach, an outdoor air portion may be optimized, a feasible psychrometric path found, supply airflow versus temperature optimized, and a controller run to meet setpoints.

Abstract: Methods, devices, and systems for detecting retail shrinkage using behavior analytics are described herein. The retail shrinkage may be due to, for example, sweethearting, although embodiments of the present disclosure are not so limited and can be used to detect other forms of retail shrinkage as well. One or more device embodiments include a memory, and a processor coupled to the memory. The processor is configured to execute executable instructions stored in the memory to receive data associated with behavior of an individual and use the data associated with the behavior of the individual to determine whether the behavior of the individual is irregular to detect retail shrinkage.

Abstract: A system that transforms information into fuzzy observable states. These states may be matched against a mapping table which indicates which observable state admits or excludes particular faults. This information may be processed over time when in each time instant the admitted or excluded faults are used for updating the rate for each fault.

Abstract: A system and method track a face moving through multiple frames of a video sequence. A predicted position of a face in a video frame is obtained. A search is performed to determine appearance model similarity values of a detected face. Motion and appearance probabilities of the detected face are obtained, and the detected face in the video frame is associated with a track as a function of a joint probabilistic data association filter.