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基于HOG和Haar特征的行人追踪算法研究 被引量:7
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作者 陆星家 陈志荣 +1 位作者 尹天鹤 杨帆 《计算机科学》 CSCD 北大核心 2013年第06A期199-203,共5页
行人在真实场景的检测和追踪是多目标检测和追踪研究中的一个重要问题,尤其是在真实的三维场景中的多行人之间的遮挡、拥挤以及背景的变化对多目标检测和追踪研究造成了严重的挑战。在多目标检测中利用了Haar特征、HOG特征,在行人正面... 行人在真实场景的检测和追踪是多目标检测和追踪研究中的一个重要问题,尤其是在真实的三维场景中的多行人之间的遮挡、拥挤以及背景的变化对多目标检测和追踪研究造成了严重的挑战。在多目标检测中利用了Haar特征、HOG特征,在行人正面向相机运动时,采用Haar特征检测器检测人脸,并结合Haar运动模型完成行人的检测,当行人侧向运动时,采用HOG特征,利用层次-部分模型进行行人的检测和追踪,在完成行人的检测之后,利用最大权重独立集合算法完成帧间目标的关联。通过对ETH、TUD以及本地样本库的检测和追踪结果表明,采用Haar特征和HOG特征的检测算法对于行人的正面和侧面都具有较高的检测准确率、精确度。 展开更多
关键词 HAAR-LIKE特征 HOG特征 层次-部分模型 Haar运动模型 最大权重独立集
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RESEARCH ON DEEP COAL SEAM MINING FLOOR STARTA WATER BURSTING INFLUENCED FACTORS BASED ON ANALYTIC HIERACHY PROCESS
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作者 SUN Ming ZHENG Wenxiang DUAN Xiaobo 《International Journal of Technology Management》 2014年第4期135-138,共4页
Deep coal seam mining floor strata water bursting is a complicate nonlinear system, whose factors are coupling and influencing themselves. It built the analytic structure model for deep coal seam mining floor strata w... Deep coal seam mining floor strata water bursting is a complicate nonlinear system, whose factors are coupling and influencing themselves. It built the analytic structure model for deep coal seam mining floor strata water bursting, the judgment matrix was found by the expert scoring method, the contribution weights of the influenced factors were given out by the equation analytic process. The thirteen controlling factors and five main controlling factors were put award by analyzing weights, so the result was basically conform to the field practice. The expert scoring method and analytic process can convert the objective fact to the subjective cognition, so it is a method that can turn the qualitative into the quantitative. This can be relative objectively and precisely to study the question of many factors and grey box. 展开更多
关键词 deep coal seam mining floor strata water bursting expert scoring method equation analytic hierachy process controllingfactors main controlling factors
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