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원웅제(WoongJae Won),손준우(JoonWoo Son) 한국자동차공학회 2008 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
In this paper, we proposed a simple driver's hand detection model for estimating driver's behavior, in order to implement interactive workload manager. For the detection of the driver's hands position, we use normalized color features with skin color filter for filtering non-hand regions. And, the center surround difference and normalization algorithm are considered for making hand salience map, which is effective to intensify the driver's hand region color characteristic as well as reduce background noise influence. After constructing the hand salience map using skin-filtered color normalized feature, the driver's hand regions are selected by local maximum energy searching with 4-directional region growing based entropy maximization algorithm to find suitable size of the driver's hand areas. Experimental results show that simple proposed model can successfully detect driver's hand position.