Accession Number : AD1051617


Title :   Multiscale Path Metrics for the Analysis of Discrete Geometric Structures


Descriptive Note : Technical Report,01 Aug 2016,30 Apr 2017


Corporate Author : Duke University Durham United States


Personal Author(s) : Tomasi,Carlo


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/1051617.pdf


Report Date : 30 Nov 2017


Pagination or Media Count : 9


Abstract : The objective of this research is to model the topological and combinatorial structure of realistic data such as video that captures moving objects (pedestrians, vehicles, marine vessels) in the context of recognition, tracking, and classification tasks. Each data item (for instance, an image of a handwritten digit, or the bounding box around the image of an observation target in one video frame) is viewed as a point in an abstract space, and the main thrust of this research is to model the topology, geometry, and combinatorics of the sets that result from collecting many points like these from data recordings.


Descriptors :   artificial neural networks , digital data , multitarget tracking , topology , pattern recognition , computer vision , algorithms , linear programming , geometry , computer programming , IMAGE PROCESSING , VIDEO FRAMES


Subject Categories : Computer Programming and Software


Distribution Statement : APPROVED FOR PUBLIC RELEASE