5 research outputs found
Multitarget Tracking Using Orientation Estimation for Optical Belt Sorting
In optical belt sorting, accurate predictions of the bulk material particles’ motions are required for high-quality results. By implementing a multitarget tracker tailored to the scenario and deriving novel motion models, the predictions are greatly enhanced. The tracker’s reliability is improved by also considering the particles’ orientations. To this end, new estimators for directional quantities based on orthogonal basis functions are presented and shown to outperform the state of the art
Bildfolgenbasierte Gewinnung und Nutzung partikelindividueller Bewegungsinformation in der optischen SchĂĽttgutsortierung
Die sensorgestützte Sortierung ermöglicht die Trennung einzelner Partikel aus einem Materialstrom. In dieser Arbeit wird eine neue Gattung eines Schüttgutsortiersystems mit Flächenkamera erforscht. Der Einsatz von Hochgeschwindigkeitskameras als Inspektionssensorik wirft aus Sicht der Informatik spannende Forschungsfragen hinsichtlich der Gewinnung und Nutzung weitergehender Merkmale, insbesondere von Bewegungsinformation über zu sortierende Materialien, auf
Feature-Aided Multitarget Tracking for Optical Belt Sorters
Industrial optical belt sorters are highly versatile in sorting bulk material or food, especially if mechanical properties are not sufficient for an adequate sorting quality. In previous works, we could show that the sorting quality can be enhanced by replacing the line scan camera, which is normally used, with an area scan camera. By performing multitarget tracking within the field of view, the precision of the utilized separation mechanism can be enhanced. The employed kinematics-based multitarget tracking crucially depends on the ability to associate detection hypotheses of the same particle across multiple frames. In this work, we propose a procedure to incorporate the visual similarity of the detected particles into the kinematics based multitarget tracking that is generic and evaluates the visual similarity independent of the kinematics. For evaluating the visual similarity, we use the Kernelized Correlation Filter, the Large Margin Nearest Neighbor method and the Normalized Cross Correlation. Although no clear superiority for any of the visual similarity measures mentioned above could be determined, an improvement of all considered error metrics was attained. Index Terms-feature-aided multitarget tracking, industrial optical belt sorters, metric learning, visual tracking
Aerospace Medicine and Biology: A continuing bibliography with indexes, supplement 267, January 1985
This publication is a cumulative index to the abstracts contained in the Supplements 255 through 266 of Aerospace Medicine and Biology: A Continuing Bibliography. It includes seven indexes--subject, personal author, corporate source, foreign technology, contract number, report number, and accession number