Computer Science ›› 2018, Vol. 45 ›› Issue (4): 291-295.doi: 10.11896/j.issn.1002-137X.2018.04.049

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Video-based Detection of Human Motion Area in Mine

LI Shan and RAO Wen-bi   

  • Online:2018-04-15 Published:2018-05-11

Abstract: The human motion area detection technology applied to the mine video can detect motion of miners and intelligently detect abnormal behavior of miners through further analysis.According to the results of feedback detection to achieve real-time alarm and linkage control,it obviously reduces the occurrence of mine accidents.This paper proposed a hybrid method TD-HF(Time Difference and Haar Feature) for extracting human motion area,which integrates the time difference method and the human detection algorithm based on Haar feature especially under the condition of mine.The experiment shows that this method is better than the simple classifier based on AdaBoost algorithm in the detection rate and false recognition rate,at the same time,it can satisfy the real-time requirements in detection time.It’s applicable to the detection of human motion area under the special condition of mine video.

Key words: Human motion region,Time difference method,TD-HF,AdaBoost

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