An Incremental DPMM-Based Method for Trajectory Clustering, Modeling, and Retrieval


Trajectory analysis is the basis for many applications, such as indexing of motion events in videos, activity recognition, and surveillance. In this paper, the Dirichlet process mixture model (DPMM) is applied to trajectory clustering, modeling, and retrieval. We propose an incremental version of a DPMM-based clustering algorithm and apply it to cluster… (More)
DOI: 10.1109/TPAMI.2012.188


18 Figures and Tables


Citations per Year

56 Citations

Semantic Scholar estimates that this publication has 56 citations based on the available data.

See our FAQ for additional information.