Automatic People Counting Based on Machine Learning in Intelligent Video Surveillance
Yu‐Jin Zhang · Video Engineering · 2009
An automatic people counting system based on machine learning in intelligent video surveillance is proposed in this paper. The system detects head-shoulder component based on machine learning, which overcomes the disadvantages of traditional detection methods such as connected component analysis or simple template matching. The system demonstrates its robustness to illumination change and crowd in practical applications.