Paul J. Seekings

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—In this paper, we present marine mammal observation statistics, high-frequency seismic source characteristics, and example denoising of marine mammal acoustical recordings using data collected during the mitigation and monitoring program for a 3-D seismic survey by EnCana Corporation, Calgary, AB, Canada, in the Northwest Atlantic during 2003. Marine(More)
We develop and implement a new approach to utilizing color information for object and scene recognition that is inspired by the characteristics of color-and object-selective neurons in the high-level inferotemporal cortex of the primate visual system. In our hierarchical model, we introduce a new dictionary of features representing visual information as(More)
The upper limit of frequency sensitivity for vibrotactile stimulation of the fingers and hand is commonly accepted as 1 kHz. However, during the course of our research to develop a full-hand vibrotactile musical communication device for the hearing-impaired, we repeatedly found evidence suggesting sensitivity to higher frequencies. Most of the studies on(More)
The upper limit of frequency sensitivity for vibrotactile stimulation of the fingers and hand is commonly accepted as 1 kHz. However, during the course of our research to develop a full-hand vibrotactile musical communication device for the hearing impaired, we repeatedly found evidence suggesting sensitivity to higher frequencies. Most of the studies on(More)
In many coastal environments, particularly in tropical zones, coral reef ecosystems have exceptional biodiversity, contribute to coastal defense, provide unique and important habitats and valuable commercial resources. Assessment of environmental impacts on biodiversity in such areas are increasingly important to mitigate potential adverse effects on(More)
We introduce a method for encoding co-occurrence of features in the HMAX model of visual recognition, and conduct a series of experiments to investigate the contribution of co-occurrence towards better recognition performance. We show that classification accuracy is increased by adding a higher-order layer to the HMAX processing hierarchy, whereby(More)
Most acoustic signals received by underwater systems in shallow waters are non-stationary and corrupted by unpredictable noise sources. In most cases, the noise has a dramatic influence on the performances of these systems. While classical methods often fail to characterise these noises in such an environment, recent multi-resolution methods like the(More)
Estimating geoacoustic parameters is important for many applications in underwater acoustics. Conventional techniques generally employ vertical or horizontal receiver arrays whose output is matched field processed to invert for bottom parameters. Recent work has investigated whether the receiver array could be replaced with a single receiver with a moving(More)
In this paper we propose a new biologically inspired model which simulates the visual pathways in the human brain used for classification of matching optical and sonar derived images. Marine mammals, such as dolphins, that live in waters with poor optical clarity and low light levels such as littoral zones, use a combination of optical vision and biosonar(More)