Papers by Trevor Beugeling
2007 IEEE Workshop on Motion and Video Computing (WMVC'07), 2007
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2014 Canadian Conference on Computer and Robot Vision, 2014
ABSTRACT The identification of pond turtles is important to scientists who monitor local populati... more ABSTRACT The identification of pond turtles is important to scientists who monitor local populations, as it allows them to track the growth and health of subjects over their lifetime. Traditional non-invasive methods for turtle recognition involve the visual inspection of distinctive coloured patterns on their plastron. This visual inspection is time consuming and difficult to scale with a potential growth in the surveyed population. We propose an algorithm for automatic identification of individual turtles based on images of their plastron. Our approach uses a combination of image processing and neural networks. We perform a convexity-concavity analysis of the contours on the plastron. The output of this analysis is combined with additional region-based measurements to compute feature vectors that characterize individual turtles. These features are used to train a neural network. Our goal is to create a neural network which is able to query a database of images of turtles of known identity with an image of an unknown turtle, and which outputs the unknown turtle's identity. The paper provides a thorough experimental evaluation of the proposed approach. Results are promising and point towards future work in the area of standardized image acquisition and image denoising.
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2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 2013
ABSTRACT This paper proposes a novel method for computer vision-based, marker-less analysis of da... more ABSTRACT This paper proposes a novel method for computer vision-based, marker-less analysis of daily human actions for detecting motion irregularities (sway). Sway occurs due to a temporary loss in balance and is an important indicator of decay in motor skills. One should note that the purpose of the proposed approach is not to recognize the performed activity (which is a controlled variable in our experimental design), but to detect irregularities in the performance of this activity. The proposed motion model is based on population Hidden Markov Models. This model has been trained and tested on a custom-designed database involving multiple daily actions. Experimental results demonstrate its robustness with respect to subject and speed variability in training sequences, as well as its ability to capture sway-type motion irregularities.
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2012 Frontiers in Education Conference Proceedings, 2012
ABSTRACT This paper presents the results of a comparison study using the Visual VIPERS interface,... more ABSTRACT This paper presents the results of a comparison study using the Visual VIPERS interface, a graphical interface which can be applied as an educational tool for novice computer vision students. The goal of the study was to evaluate the change in usability of the interface after the addition of a monitor tool, which can be used to view intermediate image results at specific stages of an algorithm. A user study was conducted in which participants were asked to find an error in a pre-assembled algorithm. Results indicate that participants using the older version of the interface (with no monitor tool) took, on average, less time to find the error than participants who used the monitor tool. However, interview responses indicated a greater level of understanding of the algorithm from participants who used the monitor tool. Interview responses also demonstrated a clear desire from users of the old interface for the addition of a debugging tool (such as the newly introduced monitor tool). Our belief is that participants using the monitor tool performed a more thorough search of the algorithm, and thus gained a greater understanding of how the algorithm operated, while attempting to determine the source of the error.
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Journal of Multimedia, 2007
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IEEE Transactions on Biomedical Engineering, 2000
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2012 Oceans, 2012
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Papers by Trevor Beugeling