Anzeige
Erschienen in:
2009 | OriginalPaper | Buchkapitel
Fast Object Tracking in Intelligent Surveillance System
verfasst von : Ki-Yeol Eom, Tae-Ki Ahn, Gyu-Jin Kim, Gyu-Jin Jang, Moon-hyun Kim
Erschienen in: Computational Science and Its Applications – ICCSA 2009
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 this paper we present the improved Fast Time Series Evaluation(IFTSE) algorithm that can fast and efficiently track the objects in bad environment conditions. Object tracking in intelligent surveillance system is an important part to identify suspicious objects’ behavior. But object tracking is exhaustive and time-consuming process and we cannot also efficiently search the trajectory of detected objects due to bad conditions (e.g. bad camera capacity, dust particles in the air, lighting changes). To demonstrate the performance of the proposed IFTSE algorithm for tracking the objects, we introduce evaluation metrics. A prototype tracking system that IFTSE algorithm is employed is implemented using Visual C++. We increase true positive rate by approximately 6% and reduce false alarm rate by approximately 2% and reduce id change by approximately 30%.