In this paper we propose a scheme which uses the saliency-based top-down visual attention model in the rapid object
detection scheme based on a boosted cascade of simple features proposed by Viola et al. It can selects conspicuous
locations from complex scenes in real time and some background regions of the image can be quickly discarded while
the classifier can spend more computation on promising object-like regions. We use the conspicuity map and the trained
classifier to decide where the targets are. A set of experiments in the domain of face detection are presented. Test results
show that with this improved scheme, the detection rate is improved and the computation speed can meet the real-time
requirements.Y
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