Crowd analysis becomes very popular research topic in the area of computer vision. A growing requirement for smarter video surveillance of private and public space using intelligent vision systems which can differentiate what is semantically important in the direction of the human observer as normal behaviors and abnormal behaviors. People counting people tracking and crowd behavior analysis are different stages for computer based crowd analysis algorithm. This paper focus on crowd behavior analysis which can detect normal behavior or abnormal behavior.
K means-CNN
machine learning
₹12000 (INR)
IEEE 2017