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 :

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