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Recognition of human actions by using wearable sensors has become an important research field. Segmentation to sensor data is a vital issue in reconstructing and understanding human daily actions, and strongly affects the accuracy of human actions recognition. Traditional online segmentation approaches are mostly designed for one-dimensional sensor data, which greatly limits these approaches to multi-dimensional...
In this paper, we present an object pattern extraction method using a recently proposed edge detection approach based on Linear Prediction (LP), with specific applications to pattern extraction of underwater sonar images. The novel edge detection method is illustrated, an entropy method used to calculate the threshold that separates the object and the background is discussed, and the application of...
A novel method called global and local transformation consistency constraints, which combines the scale, orientation and spatial layout information of `scale invariant feature transform` (SIFT) features, is proposed for discarding mismatches from given putative point correspondences. Experiments show that the proposed method can efficiently extract high-precision matches from low-precision putative...
Traditionally, Linear Prediction is used to predict future values of a signal using past values. The goal is to minimize prediction errors. In this paper, we propose a novel method of utilizing prediction errors to extract edges of images. In this method, smooth prediction errors are minimized while steep changes (larger errors) are amplified. Therefore, when applied to image edge detection, edge...
We present a robust approach to real-time 3D head pose tracking using multiple cameras with unknown camera placements. Many important applications do not want prior multi-camera calibration. We exploit a generic face model to overcome the difficulties due to the lack of prior knowledge of camera placement and the severe head appearance difference across cameras. We propose a fast drift-free solution...
We propose a method for improving the accuracy of the optic cup detected from the ARGALI system. This method makes use of key points from the branching points of large vessels, the analysis of intensity variation and kinks from small vessels to obtain an enhanced optic cup. Measures used to assess the detection of the optic cup showed an 11% and 40% improvement in the mean average overlap and relative...
A technique for improving the recognition accuracy of EMG-based speech recognition by applying existing speech recognition technologies is proposed. The authors have proposed an EMG-based speech recognition system that requires only mouth movements, voice need not be generated. A multi-stream HMM (hidden Markov model) and feature extraction technique are applied to EMG-based speech recognition. 3...
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