Dynamics based approach for human activity understanding
Teresa Yu Mao · 2011
In recent years, there has been an increasing interest within computer vision in the analysis of human activity for surveillance applications. These efforts are motivated by ubiquity of surveillance cameras and the need for security in large public spaces. The goal of human activity recognition from video is to classify an activity in a given video as one of several activities learned from training data. A related problem, event and anomaly detection, flags a behavior or event as abnormal when it deviates from previous available data. In this case, the activity is not known a priori. Instead, the goal is to look for something that has not been seen before.