Contour-based Human Detection with Foreground Distribution Trend Filtering and Tracking

論文翻譯標題: 具前景分佈趨勢過濾與追蹤機制之輪廓為基礎的行人偵測
  • 粘 光裕

學生論文: Master's Thesis

摘要

In video surveillance detecting human in crowded environment is profitable but challenging Based on contour-based human detection we add two new methods: foreground distribution trend filter and tracking Foreground distribution trend filter deletes those distinguishable false alarms by analyzing foreground distribution trend along x-axis of false alarms Tracking is to record the trajectory a human pass We use this feature to recover those missing detected humans by interpolating positions and consequently increase recall We also make a hypothesis that false alarms may only occur in few frames so we can delete them to increase precision Experimental results show that our proposed methods can improve precision and recall
獎項日期2014 七月 14
原文English
監督員Pei-Yin Chen (Supervisor)

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