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People Counting Based on Video Background Subtraction and Blob Tracking
Thesis

People Counting Based on Video Background Subtraction and Blob Tracking

Tsai, Shih-Chang
Masters, 國立清華大學, 資訊工程學系
2012

Abstract

背景消除法 團塊跟蹤
People counting is one of many important applications of video surveillance systems. We propose an automatic people counting system by applying background subtraction and blob tracking on video camera output. Background subtraction identifies blobs in the form of connected components. Centroid of blobs is used to track blobs for counting. We capture video using a single overhead-mounted camera for experiment. Experimental results show that our method achieves very high accuracy.

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