Abstract: A method is described, for processing images of persons or objects to generate an identity preservative feature descriptor learnt for each person or object. The method includes obtaining an image of a person or object, extracting at least one spatial attribute of the person or object from the obtained image, and extracting at least one appearance feature of the person or object from the image by using a mapping function to translate image pixels into appearance attributes represented by at least one numerical feature. The method also includes combining the at least one spatial attribute and the at least one appearance feature to generate the unique feature descriptor representing the person or the object, to assign the unique feature descriptor to the image to enable feature descriptors representing the same person or object to be compared to feature descriptors representing different people or objects given a predefined mathematical pseudo-distance metric according to a least a distance from each other.

Abstract: A system and method for registering images to each other or registering images to templates to generate geometric or nonlinear registration transformation mappings is disclosed. The method includes obtaining a first image from an imaging device, and obtaining either a reference image from the imaging device, or a template, comprising a partial or full representation of contents of the first image. The reference image or the template is in a second modality, and the first image is in a first modality. At least one mapping function is applied to one of the reference image or template, or both the first image and the reference image or template by mapping pixel data of the template or reference image to the first image to generate an estimation of a parametric registration transformation. Output data comprising one or more parameters of the parametric registration transformation is provided.

Abstract: A system for endurance testing including: at least one sensor configured to collect data associated with an individual's movement for an endurance test; an action module configured to determine endurance movements from the collected data and determine a set of test action; and an analysis module configured to analyze the set of test actions to provide a result for the endurance test. A method for endurance testing including: collecting data associated with an individual's movement, via at least one sensor; determining endurance movements from the collected data; determining a set of test action from the endurance movements; analyzing the set of test actions; and providing results associated with the endurance test based on the analyzed set of test actions.

Abstract: A system for ambient mobility testing including: at least one sensor configured to collect data associated with an individual's movement; an analysis module configured to analyze the collected data to determine a set of timed-up-and-go (TUG) actions of a TUG test and determine results of a complete TUG test; and a reporting module configured to provide the results of the TUG test. A method for ambient mobility testing, the method including: collecting data associated with an individual's movement, via at least one sensor; analyzing the collected data to determine timed-up-and-go (TUG) actions of a TUG test; determining results of a complete TUG test; and providing the results of the TUG test.

Abstract: A method is described, for processing images of persons or objects to generate an identity preservative feature descriptor learnt for each person or object. The method includes obtaining an image of a person or object, extracting at least one spatial attribute of the person or object from the obtained image, and extracting at least one appearance feature of the person or object from the image by using a mapping function to translate image pixels into appearance attributes represented by at least one numerical feature. The method also includes combining the at least one spatial attribute and the at least one appearance feature to generate the unique feature descriptor representing the person or the object, to assign the unique feature descriptor to the image to enable feature descriptors representing the same person or object to be compared to feature descriptors representing different people or objects given a predefined mathematical pseudo-distance metric according to a least a distance from each other.