Skimming rushes video using retake detection
Proceedings of the international workshop on TRECVID video summarization
Trajectory retrieval with latent semantic analysis
Proceedings of the 2008 ACM symposium on Applied computing
Using Simulation to Evaluate Data-Driven Agents
Multi-Agent-Based Simulation IX
Review: The use of pervasive sensing for behaviour profiling - a survey
Pervasive and Mobile Computing
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Towards Generic Detection of Unusual Events in Video Surveillance
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Discriminative human action recognition in the learned hierarchical manifold space
Image and Vision Computing
Detecting and clustering multiple takes of one scene
MMM'08 Proceedings of the 14th international conference on Advances in multimedia modeling
Vs-star: A visual interpretation system for visual surveillance
Pattern Recognition Letters
A polygon-based methodology for mining related spatial datasets
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics
Assessment of error in air quality models using dynamic time warping
Proceedings of the 1st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics
Clustering of vehicle trajectories
IEEE Transactions on Intelligent Transportation Systems
A new dissimilarity measure for trajectories with applications in anomaly detection
CIARP'10 Proceedings of the 15th Iberoamerican congress conference on Progress in pattern recognition, image analysis, computer vision, and applications
Intelligent multi-camera video surveillance: A review
Pattern Recognition Letters
Interpreting pedestrian behaviour by visualising and clustering movement data
W2GIS'13 Proceedings of the 12th international conference on Web and Wireless Geographical Information Systems
Anomaly detection on ITS data via view association
Proceedings of the ACM SIGKDD Workshop on Outlier Detection and Description
International Journal of Computer Vision
Hi-index | 0.00 |
This paper compares different similarity measures used for trajectory clustering in outdoor surveillance scenes. Six similarity measures are presented and the performance is evaluated by Correct Clustering Rate (CCR) and Time Cost (TC). The experimental results demonstrate that in outdoor surveillance scenes, the simpler PCA+Euclidean distance is competent for the clustering task even in case of noise, as more complex similarity measures such as DTW, LCSS are not efficient due to their high computational cost .