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Automatic detection of fish welfare related parameters is a very important step in the process of aquaculture production control. Poor handling, and lack of control of the state of the biomass in production plants, may lead to various disease outbreaks, chronic stress and physical trauma, which can influence mortality, which is directly related to profit loss. Automated and objective splash detection...
We present a method for voice activity detection of multiple concurrent speakers using a camera-assisted microphone array. The proposed method uses face detection to identify locations of potential speech sources, and uses this information in an adaptive beamforming procedure to form a spatially directed detection algorithm to identify voice activity for individual speakers. Voice activity is classified...
In this paper a universal, coarse-grained reconfigurable architecture for hardware acceleration of decision trees (DTs), artificial neural networks (ANNs), and support vector machines (SVMs) is proposed. Using proposed architecture, two versions of DTs (Functional DT and Axis-Parallel DT), two versions of SVMs (with polynomial and radial kernels) and two versions of ANNs (Multi Layer Perceptron and...
Automatic discomfort detection for infants is important in health care, since infants have no ability to express their discomfort. In this paper, we propose an automatic system for detecting and monitoring discomfort of infants based on video analysis. The system is based on supervised learning and classifies previously unseen infants from the testing set in a fully automated way. Our system consists...
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