Trajectory Learning for Activity Understanding: Unsupervised, Multilevel, and Long-Term Adaptive Approach - Morris, B. T.; Trivedi, M. M. (IEEE transactions on pattern analysis and machine intelligence, 2011)
Keywords: abnormality detection; activity prediction; Applied sciences; Artificial intelligence; Computer science; control theory; systems; Construction; Exact sciences and technology; Hidden Markov models; Intelligence; Learning; Mathematical models; Pattern analysis; Pattern recognition. Digital image processing. Computational geometry; Probabilistic logic; real-time activity analysis; Regression; Retraining; Sparse matrices; Studies; Surveillance; Training; Trajectories; Trajectory; Trajectory clustering; trajectory learning; Recurrence; Vocabulary; Image processing; activity prediction; Modeling; Adaptive method; trajectory learning; Incomplete information; Localization; Time analysis; Monitoring; Mixed distribution; Cluster; Video cameras; Real time; Long term; Missing data; real-time activity analysis; Image analysis; Gaussian process; Surveillance; Trajectory clustering; abnormality detection; Scene analysis; Hidden Markov model; Maximum likelihood