A Balcony Dangerous Behavior Detection Algorithm Based on Video Image

Target detection, recognition and analysis in video images are the core content of pattern recognition research. And it is also very important to perform rapid detection, accurate behavior recognition and dangerous behavior analysis in video images. In daily life, if burglaries from balcony is not discovered by the householder in time, and the property safety of the householder will be threatened. In addition, if the dangerous behavior of children and the elderly with diseases on the balcony are not discovered by the guardian in time, they will be in danger. For the problems, a dangerous behavior detection algorithm based on video images was proposed. It mainly includes human body detection, zone division, and dangerous behavior recognition. The background subtraction and the threshold segmentation method were combined to detect the foreground target of the video image. And the background was divided into some key zones according to the application. Finally, a logical judgment method was proposed according to background zones divided and foreground target, and the dangerous behaviour was identified by it. The experimental results showed that the algorithm can effectively identify the dangerous behavior of climbing the railing on the balcony in time.