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Title:

Robust Tracking of Humans by Intelligent Multi-modal Fusion of Visual Cues using Machine Learning

Document type:
Technical Report
Author(s):
Suraj Nair; Alois Knoll
Abstract:
This document formulates a technical report proposing a methodology to improve the robustness of vision based human tracking systems in real-world scenarios. We propose a system consisting of 2 stages, 1. a vision based human tracking system using multiple visual cues, 2. an intelligent multi-modal fusion module, using machine learning techniques, to determine the right weights for each visual modality for the operating environment of the system. The function of the second stage is to perform on...     »
Keywords:
Human Tracking; People Tracking; Visual Servoing
Year:
2010
Year / month:
2010-11-18 00:00:00
Pages:
25
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