THERMAL SCIENCE
International Scientific Journal
THERMAL VISION BASED INTELLIGENT SYSTEM FOR HUMAN DETECTION AND TRACKING IN MOBILE ROBOT CONTROL SYSTEM
ABSTRACT
This paper presents the results of the authors in thermal vision based mobile robot control. The most important segment of the high level control loop of mobile robot platform is an intelligent real-time algorithm for human detection and tracking. Temperature variations across same objects, air flow with different temperature gradients, reflections, person overlap while crossing each other, and many other non-linearities, uncertainty and noise, put challenges in thermal image processing and therefore the need of computationally intelligent algorithms for obtaining the efficient performance from human motion tracking system. The main goal was to enable mobile robot platform or any technical system to recognize
the person in indoor environment, localize it and track it with accuracy high
enough to allow adequate human-machine interaction. The developed computationally intelligent algorithms enables robust and reliable human detection and tracking based on neural network classifier and autoregressive neural network for time series prediction. Intelligent algorithm used for thermal image segmentation gives accurate inputs for classification.
KEYWORDS
PAPER SUBMITTED: 2016-04-01
PAPER REVISED: 2016-08-08
PAPER ACCEPTED: 2016-08-10
PUBLISHED ONLINE: 2016-12-25
THERMAL SCIENCE YEAR
2016, VOLUME
20, ISSUE
Supplement 5, PAGES [S1553 - S1559]
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