ANN Ensembles vs DSP for Mobile Object Detection and Filtering

ANN Ensembles vs DSP for Mobile Object Detection and Filtering

This paper presents a comparative study between digital signal processing (DSP) systems and artificial neural networks (ANNpsilas) for object motion detection and object extraction and image filtering. The ANNpsilas are arranged as an ensemble to perform the motion detection and image subtraction fu...

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Bibliographische Detailangaben
Hauptverfasser: Moorgas, K.E., Govender, P.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Artificial neural networks
Data mining
Digital filters
Digital signal processing
Discrete Fourier transforms
ensembles
Filtering
Frequency
Intelligent systems
Motion detection
Object detection
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Beschreibung
Zusammenfassung:This paper presents a comparative study between digital signal processing (DSP) systems and artificial neural networks (ANNpsilas) for object motion detection and object extraction and image filtering. The ANNpsilas are arranged as an ensemble to perform the motion detection and image subtraction function. ANN's are also used for rejecting any noise contained within the image. The ANN system displays a superior performance over the DSP in terms of system complexity and image quality.
DOI:10.1109/WCECS.2008.38