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- W2022533693 abstract "In this paper we propose a scheme which uses the saliency-based top-down visual attention model in the rapid objectdetection scheme based on a boosted cascade of simple features proposed by Viola et al. It can selects conspicuouslocations from complex scenes in real time and some background regions of the image can be quickly discarded whilethe classifier can spend more computation on promising object-like regions. We use the conspicuity map and the trainedclassifier to decide where the targets are. A set of experiments in the domain of face detection are presented. Test resultsshow that with this improved scheme, the detection rate is improved and the computation speed can meet the real-timerequirements.Y" @default.
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- W2022533693 date "2009-10-30" @default.
- W2022533693 modified "2023-09-23" @default.
- W2022533693 title "Real-time object detection based on the improved boosted features" @default.
- W2022533693 doi "https://doi.org/10.1117/12.832482" @default.
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