To improve the accuracy rate of passenger flow estimation during rush hour, a vision-based procedure to estimate passenger flow in buses was presented for the embedded application.
为了利用立体视觉技术提升视觉客流统计系统的准确率,提出一种基于区域视差提取的单、双目处理技术相结合的行人头顶部检测新方法。
Starting with analyzing the factors affecting dispensing performance, an adhesive flow rate predictive model is developed and a vision-based online control strategy for time-dispensing is presented.
本文从分析影响时间-压力点胶一致性的因素入手,对点胶量的模型预测、在线测量和点胶过程控制展开了研究。
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