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Title: Motion classification using spatiotemporal approximation of object trajectories
Author: Khalid, Shehzad
ISNI:       0000 0001 3598 0641
Awarding Body: University of Manchester
Current Institution: University of Manchester
Date of Award: 2009
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Techniques for understanding video object motion activity are becoming increasingly important with the widespread adoption of CCTV surveillance systems. Motion trajectories provide rich spatiotemporal information about an object's activity. This thesis presents a novel technique for clustering and classification of object trajectory based video motion clips using basis function approximation.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available