Object Trajectory-Based Activity Classification and Recognition Using Hidden Markov Models

Abstract

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… (More)
DOI: 10.1109/TIP.2007.898960

Topics

3 Figures and Tables

Statistics

0102030'06'07'08'09'10'11'12'13'14'15'16'17'18
Citations per Year

223 Citations

Semantic Scholar estimates that this publication has 223 citations based on the available data.

See our FAQ for additional information.

Slides referencing similar topics