Efficient Target Detection from Infrared Image Sequences Using the Sequential Monte Carlo Method

This paper presents an efficient target detection algorithm from a sequence of infrared images using the sequential Monte Carlo method (SMC). The algorithm employs an evolution process of the particles which correspond to the candidates of the target position and whose evolution is controlled by the...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Ganhua Li, Xuanping Cai, Yunhui Liu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Background noise Gaussian noise Image sequences Infrared detectors Infrared imaging Iterative algorithms Low-frequency noise Noise Suppression Object detection Sequential Infrared Image Signal processing algorithms Sliding mode control SMC Target Detection
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