With growing security threats, many online and offine frameworks have been proposed for anomaly detection in video sequences. However, existing techniques are either computationally very expensive or lack desirable accuracy. This research work proposes a novel particle filtering based framework which detects frames with anomalous activities upon the posterior probability of sequence. The method...

Social media and the Internet have become an integral part of how people spread consume information. Over a period time, social evolved dramatically, almost half population is using to express their views opinions. Online hate speech one drawbacks nowadays, which needs be controlled. In this paper, we will understand originated what are consequences it trends machine learning algorithms solve o...