Abstract: A method, non-transitory computer readable medium, and apparatus that tracks an object includes utilizing random projections to represent an object in a region of an initial frame in a transformed space with at least one less dimension. One of a plurality of regions in a subsequent frame with a closest similarity between the represented object and one or more of plurality of templates is identified as a location for the object in the subsequent frame. A learned distance is applied for template matching, and techniques that incrementally update the distance metric online are utilized in order to model the appearance of the object and increase the discrimination between the object and the background. A hybrid template library, with stable templates and hybrid templates that contains appearances of the object during the initial stage of tracking as well as more recent ones is utilized to achieve robustness with respect to pose variation and illumination changes.

Abstract: A method, non-transitory computer readable medium, and apparatus that tracks an object includes utilizing random projections to represent an object in a region of an initial frame in a transformed space with at least one less dimension. One of a plurality of regions in a subsequent frame with a closest similarity between the represented object and one or more of plurality of templates is identified as a location for the object in the subsequent frame. A learned distance is applied for template matching, and techniques that incrementally update the distance metric online are utilized in order to model the appearance of the object and increase the discrimination between the object and the background. A hybrid template library, with stable templates and hybrid templates that contains appearances of the object during the initial stage of tracking as well as more recent ones is utilized to achieve robustness with respect to pose variation and illumination changes.

Abstract: The present invention relates to a methodology for assembling a document from content spanning multiple web-pages employing two cooperative processes. Given a starting location, one process analyzes a single page at a time to find candidate links. The links are recursively followed and those pages are analyzed. A detailed set of heuristics is used to determine what is or is not a candidate link. The candidate pages are then fed to a document-level analyzer. This process compares the attributes of one page against the others and looks for a document-like structure. Using another detailed set of heuristics, the document-level analyzer determines if the page should be included in the document.

Abstract: The present invention relates to a methodology for assembling a document from content spanning multiple web-pages employing two cooperative processes. Given a starting location, one process analyzes a single page at a time to find candidate links. The links are recursively followed and those pages are analyzed. A detailed set of heuristics is used to determine what is or is not a candidate link. The links are examined for link clusters and a table of contents if found is identified. The candidate pages are then fed to a document-level analyzer. This process compares the attributes of one page against the others and looks for a document-like structure. Using another detailed set of heuristics, the document-level analyzer determines if the page should be included in the document.

Abstract: The present invention relates to a methodology for assembling a document from content spanning multiple web-pages. Given a starting location, one process analyzes a single page at a time to find candidate links. The links are recursively followed and those pages are analyzed. A detailed set of heuristics is used to determine what is or is not a candidate link. The candidate pages are then optionally fed to a document-level analyzer. This process compares the attributes of one page against the others and looks for a document-like structure. Using another detailed set of heuristics, the document-level analyzer determines if the page should be included in the document.