Anzeige
Erschienen in:
2005 | OriginalPaper | Buchkapitel
Application of Cooperative Co-evolution in Pedestrian Detection Systems
verfasst von : Xianbin Cao, Hong Qiao, Fei-Yue Wang, Xinzheng Zhang
Erschienen in: Intelligence and Security Informatics
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In general, a shape-based[1] pedestrian detection system includes the following two steps:
(a) finding out and tracking a possible pedestrian figure, and
(b) determining if the candidate pedestrian figure is really a pedestrian figure by checking if it matches with any of the pedestrian templates.
Since there are a large number of templates, it is necessary to build up a search tree for the Match process [2,3]. Each node in the tree is one feature of the corresponding templates that can be used for classification and where each branch is one pedestrian template. Usually, the search tree is not adjustable during the matching process.