Analysis of anomaly detection techniques in video surveillance

Abnormal activity detection plays a decisive role in surveillance applications. To capture abnormal body of human without the intervention of system i.e. automatically captures the video can be implemented. Human fall detection, suddenly jumping down which has an important application in the field of safety and security. Proposed system use for detecting road side human activity or behavior by using Probabilistic Neural Network (PNN) method for classifying activities or behavior between training dataset and testing videos. The partitions between classes of normal activities have also been learned using multi-PNNs. Local Binary Pattern (LBP) to track the object by using blob analysis. The proposed system is used to recognize and detecting outcome that are equivalent to or better than previous methods.