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Multi-layered Background Modeling for Complex Environment Surveillance
TLDR
We propose a framework for multi-layered background modeling, in which we conserve the background models for stationary objects hierarchically in addition to the one for the initial background, and propose a spatio-temporal background model based on the similarity in the intensity changes among pixels. Expand
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Robust Vehicle Detector Using Spatio-Temporal MRF Model
Nowadays, cameras set on highways and local streets are broadly used in traffic measurements and monitoring systems. Traffic measurement plays an important role in ITS (intelligent transportationExpand
Development of the Roadside Image Sensors for the DSSS
This paper proposes a new type of image sensor that could be used as a component in a driving safety support systems (DSSS). The DSSS typically includes a pedestrian crossing information system andExpand
DEVELOPMENT OF THE IMAGE PROCESSING VEHICLE DETECTOR FOR INTERSECTIONS
Traffic congestion can be reduced with traffic signal control systems that determine signal parameters based on future traffic volume forecasts, which rely on data from upstream intersections. ImageExpand
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