Abnormal Activities Detection for Security Purpose by Using Image Processing

Abstract

The detection of unusual activity in different crowded surroundings is crucial intended for personal safety of the in localities like shopping centers, airports and many other. The document reveals to recognize one of the unfamiliar actions in a place with group of people. The action of identification of unusual object detection may also be used for several people programs such as the crime investigation, security practices and anti terrorist supervision. In almost all monitoring devices, the digital camera is fitted with track record these kinds of that the foreground objects could possibly be plucked from digital camera subtraction method. This system is designed for the detection of abnormal activities, as the people should take possible actions for the prevention of dangerous event. The abnormal crowd detection is one of the abnormal activity of this system. Here, input will be a video and output by system would be the classification of abnormal activity/object. This object can be a bag or a parcel with specifications of dimensions. For classification of objects support vector machine is used for accurate results.