Bayesian-based techniques for tracking multiple humans in an enclosed environment

This thesis deals with the problem of online visual tracking of multiple humans in an enclosed environment. The focus is to develop techniques to deal with the challenges of varying number of targets, inter-target occlusions and interactions when every target gives rise to multiple measurements (pix...

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Bibliographic Details
Main Author: Ata ur-Rehman
Format: Default Thesis
Published: 2014
Subjects:
Mechanical engineering not elsewhere classified
Clustering
Occlusion
Data association
Multi-target tracking
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/14174
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