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This paper presents a virtual touchpad for smartphone with depth camera such as HTC One(M8). Hand gesture recognition is used as a new human machine interface for hand-held devices. This system consists of three modules: (1) open hand extraction, (2) active fingertip detection and tracking, and (3) hand gesture recognition. In the experiment, we show that our method can detect the active fingertips...
This paper proposes a real-time upper human motion capturing method to estimate the positions of upper limb joints by using Kinect. For human articulated motion capturing, the body part self-occlusion is a nontrivial problem. The system consists of hybrid action type recognition, body part segmentation, and offset compensation. The hybrid action type classifier consists of Adaboost and Random Forest...
Traffic sign recognition is difficult due to the low resolution of image, illumination variation and shape distortion. On the public dataset GTSRB, the state-of-the-art performance have been obtained by convolutional neural networks (CNNs), which learn discriminative features automatically to achieve high accuracy but suffer from high computation costs in both training and classification. In this...
This paper presents a new interactive scatter plot visualization for multi-dimensional data analysis. We apply RST to reduce the visual complexity through dimensionality reduction. We use an innovative point-to-region mouse click concept to enable direct interactions with scatter points that are theoretically impossible. To show the decision trend we use a virtual Z dimension to display a set of linear...
There are two different people counting methods: (1) counting people across a detecting line in certain time duration and (2) estimating the total number of people in some region at certain time instance. This paper presents a new approach to count the number of people crossing a line of interest (LOI). First, the foreground object silhouettes are extracted described as blobs. Second, we generate...
To achieve fast and accurate text detection from videos, we propose an efficient coarse-to-fine scheme comprising three stages: key frame extraction, candidate text line detection and fine text detection. Key frames, which are assumed to carry texts, are extracted based on multi-threshold difference of color histogram (MDCH). From the key frames, candidate text lines are detected by morphological...
This paper introduces a vision-based continuous sign language recognition (CSR) system. This CSR system can differentiate the signs in vocabulary and the non-signs. First, the continuous sign language is segmented into isolated sign segments. Then, the sign segment which can be interpreted by Product-HMMs (pHMM) is a sign, otherwise it is a non-sign. In the experiments, we test 40 signs from Taiwanese...
In this paper, we propose an integration process of feature compensation and selection on the collective acoustic feature sets to derive a set of advanced acoustic features for speaker state recognition. For feature normalization, we perform a two-dimensional histogram equalization (2-D HEQ) normalization to reduce variability of speaker and speaking environment factors. For feature selection, we...
In order to improve the calculation accuracy of polarized-light navigation sensor, the system error model was derived. Through the system error model, the system error source parameters could be calibrated outline, and the system error could be compensated greatly. The random error model was also derived in this paper. The transitive relation between random error and calculation accuracy of polarization...
This paper presents a vision-based continuous sign language recognition system to interpret the Taiwanese Sign Language (TSL). The continuous sign language, which consists of a sequence of hold and movement segments, can be decomposed into non-signs and signs. The signs can be either static signs or dynamic signs. The former can be found in the hold segment, whereas the latter can be identified in...
ZigBee wireless location system is detected through the signal strength to calculate the coordinates of the mobile node information. Before work in the system need to deploy and configure the entire system, the main components include the reference node configuration, positioning nodes and coordinator, configuring parameters, the system will be timely collection reference node coordinates and signal...
In this research, users' access interests were introduced into the design of personalized search engine by using Web mining technology. Firstly, the users' access interest transactions were gained by interest algorithm via mining the users' logs. Secondly, it presents a method to compute session similarity of transactional unit and transaction and sets up an interest similarity matrix for clustering...
Conventional video surveillance systems often have several shortcomings. First, target detection can't be accurate under the light variation environment. Second, multiple target tracking becomes difficult on a crowd scene. Third, it is difficult to the partition the tracked targets from a merged image blob. Finally, the tracking efficiency and precision are reduced by the inaccurate foreground detection...
Gene ontology (GO) annotation is a controlled vocabulary of terms and phrases describing the function of genes and gene products, which has been succeeded in predicting subcellular and subnuclear localization. Generally, each gene product is annotated by very few GO terms from more than 25,000 annotations available at present. How to represent a protein sequence using GO terms as features plays an...
This study presents a novel approach to unsupervised pronunciation grammar growing for non-native speech recognition. Unsupervised pronunciation grammar growing includes pronunciation variation graph construction and non-native grammar generation. Knowledge-based and data-driven approaches are considered for variation graph construction. The measurement of confidence and support is used for grammar...
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