Framework of surveillance video analysis and transmission system using background modeling and MIMO-OFDM

Cajote, Rhandley D.; Ruangsang, Watchara; Aramvith, Supavadee; Prapinmongkolkarn, Prasit; Miyanaga, Yoshikazu; Onoye, Takao

doi:10.1109/icdsp.2015.7252043

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2017

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“…Non-stationary background modelling due to overall lighting conditions and local image pattern fluctuations have been proposed for background subtraction. A common assumption in background modeling is that only initial background data is available to train a two class pattern recognition system [6]. Time of flight (TOF) cameras are an alternative to other sensing techniques like laser scanners or image based stereovision.…”

Section: Introductionmentioning

confidence: 99%

Background Subtraction for Time of Flight Imaging

Giacomantone

Violini

Lorenti

2017

JC&ST

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A time of flight camera provides two types of images simultaneously, depth and intensity. In this paper a computational method for background subtraction, combining both images or fast sequences of images, is proposed. The background model is based on unbalanced or semi-supervised classifiers, in particular support vector machines. A brief review of one class support vector machines is first given. A method that combines the range and intensity data in two operational modes is then provided. Finally, experimental results are presented and discussed.

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Section: Introductionmentioning

confidence: 99%