A Review on Abnormal Activity Detection Methods
Alisha Ahir, Pushpendra Kumar Pateriya, Devinder Kaur, Mritunjay Kumar Rai · 2018 International Conference on Computational Techniques, Electronics and Mechanical Systems (CTEMS) · 2018
Abnormal activity recognition and its detection becomes a major task in surveillance videos. In the context of security purposes, it becomes more challenging to identify the abnormal events or activities in video surveillance. Surveillance closely observes, monitors and identify the behaviour of any object like people, suspicious thing or any abnormal activity. Technology is increases very fast, it becomes easier to identify and detect the abnormal activities. There are a lot of techniques and methods are available in field of detection of abnormal activities. In this paper, we discuss about the various methods and techniques and discuss about their advantages and disadvantages. And also compare these technologies based upon their performance. In related work, there are many techniques like Spatio-temporal Saliency Detection, Graph Formulation, Oriented GMM, Based upon Sparse reconstruction and using Statistical Hypothesis Detector etc.