Crowd density estimation via Markov Random Field (MRF)
Refereed conference paper presented and published in conference proceedings

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摘要Crowd density estimation is of importance in security monitoring. Many crowd disasters happened because of the loss of control of the crowd density. This paper presents an algorithm to estimate crowd density by employing Markov Random Field (MRF). Three types of image features are extracted for estimating, and they are affected more by the neighboring features than by others, meeting the properties of Markov. The method of least squares is applied to estimate the model of crowd density. The system is applied for real-time videos. The proposed algorithm can estimate the number of people in crowds, and the experiments have shown the effectiveness. © 2010 IEEE.
著者Guo J., Wu X., Cao T., Yu S., Xu Y.
會議名稱2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
會議開始日07.07.2010
會議完結日09.07.2010
會議地點Jinan
會議國家/地區中國
出版年份2010
月份10
日期27
頁次258 - 263
國際標準書號9781424467129
語言英式英語

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