Proceedings of the third ACM international workshop on Video surveillance & sensor networks
TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering
Proceedings of the VLDB Endowment
FPGA-Based Anomalous Trajectory Detection Using SOFM
ARC '09 Proceedings of the 5th International Workshop on Reconfigurable Computing: Architectures, Tools and Applications
On parsing visual sequences with the hidden Markov model
Journal on Image and Video Processing
A dynamic hierarchical clustering method for trajectory-based unusual video event detection
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Common Motion Map Based on Codebooks
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Event detection using multiple event probability sequences
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Clustering of trajectories in video surveillance using growing neural gas
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation - Volume Part I
Unsupervised video surveillance
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Unsupervised activity extraction on long-term video recordings employing soft computing relations
ICVS'11 Proceedings of the 8th international conference on Computer vision systems
Extracting representative motion flows for effective video retrieval
Multimedia Tools and Applications
Learning common behaviors from large sets of unlabeled temporal series
Image and Vision Computing
Event recognition in parking lot surveillance system
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Traffic vehicle behavior prediction using hidden markov models
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
MICAI'12 Proceedings of the 11th Mexican international conference on Advances in Artificial Intelligence - Volume Part I
Warped K-Means: An algorithm to cluster sequentially-distributed data
Information Sciences: an International Journal
Kernel-based sparse representation for gesture recognition
Pattern Recognition
A novel evidence based model for detecting dangerous situations in level crossing environments
Expert Systems with Applications: An International Journal
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Motion trajectories provide rich spatiotemporal information about an object's activity. This paper presents novel classification algorithms for recognizing object activity using object motion trajectory. In the proposed classification system, trajectories are segmented at points of change in curvature, and the subtrajectories are represented by their principal component analysis (PCA) coefficients. We first present a framework to robustly estimate the multivariate probability density function based on PCA coefficients of the subtrajectories using Gaussian mixture models (GMMs). We show that GMM-based modeling alone cannot capture the temporal relations and ordering between underlying entities. To address this issue, we use hidden Markov models (HMMs) with a data-driven design in terms of number of states and topology (e.g., left-right versus ergodic). Experiments using a database of over 5700 complex trajectories (obtained from UCI-KDD data archives and Columbia University Multimedia Group) subdivided into 85 different classes demonstrate the superiority of our proposed HMM-based scheme using PCA coefficients of subtrajectories in comparison with other techniques in the literature.