Forthcoming articles

 


International Journal of Applied Pattern Recognition

 

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International Journal of Applied Pattern Recognition (4 papers in press)

 

Regular Issues

 

  • Human motion analysis based on extraction of skeleton and dynamic time warping algorithm using RGBD camera   Order a copy of this article
    by Qing Ye, Chang Qu, Yongmei Zhang 
    Abstract: Human action analysis is a popular topic in the field of computer vision. It has wide application prospects in intelligent monitoring, virtual reality, pedestrian tracking, etc. This paper present an algorithm for human motion analysis based on extraction of skeleton and dynamic time warping algorithm using RGBD camera .First, to solve the problem of the limitation of information in two-dimensional space, the RGBD camera is adopted to obtain the three-dimensional spatial information of the human body. Then, in the process of feature extraction, 11 skeleton points are selected from the depth image and the relative distance of the space is calculated, reducing the computational complexity significantly. Furthermore, an optimization algorithm of dynamic time warping is introduced so that the adverse effects of time difference are decreased. Finally, the human motion analysis is studied. The experimental results show that the proposed method can recognize single action and double action effectively.
    Keywords: RGBD camera; skeleton extraction; feature extraction; dynamic time warping; action recognition.

  • Database Corpus for Yoruba Handwriting   Order a copy of this article
    by Jumoke Ajao 
    Abstract: Abstract: Non-availability of Yoruba handwritten Database has been a major challenge affecting the validation of the Yoruba handwritten recognition system. This paper presents an offline Yoruba handwritten Database corpus for validating Yoruba handwritten Word recognition system(YHWR). In this research work, fifty medical pathology words were gotten from medical pathology dictionary. The medical pathology words were translated to their Yoruba equivalence and the translated words were hand written by two hundred(200) indigenous literate writers with appropriate diacritic signs. The offline handwritten data were scanned using 300dpi.The database corpus created; converted the scanned images to different image format, different resolutions and different image sizes, to test the effect of different resolutions, different format and image sizes on Yoruba handwritten recognition system. The digitized images were used to create Yourba handwritten database, which, could be used to validate the handwritten recognition system. The database created is considered a raw data that require some level of preprocessing before it can be used for validating the YHWR system.
    Keywords: Yoruba; handwriting; corpus; medical pathology and database.

  • INTENSITY-HUE-SATURATION RENOVATION AND LOCAL DEVIATION METHODS FOR SATELLITE IMAGE FUSION METRIC ASSESSMENT   Order a copy of this article
    by Ravi Kanth 
    Abstract: Intensity-hue-saturation (IHS) Method is an exceptional mixing moving towards with computational capability and spatial classification holding. Disregarding the way that wavelet-based picture mix procedures can give a prevalent tradeoff among spatial and loathsome features, the merged pictures with these methodologies frequently have a spatial assurance that isn't as much with IHS-based count. A isolated identifying picture blend count in light of HIS change and neighborhood grouping and its interaction with little computational flightiness are projected. Visual impact and total examination happens as expected demonstrate that the proposed crucial estimation out plays out the standard picture mix procedures in the specter space with the spatial excellence like that of un-obliterated wavelet change related course of action. The proposed changed procedure can secure the relative spatial assurance of the solidified picture with the IHS-related blend computation and the improved spooky excellence. In this paper, we develop our past results for picture mix estimations by including the strategies to satellite images against night vision and single-metric biomedical picture blend examination. Multispectral outlines consolidate satellite descriptions for arrive cover examination. In this manuscript, we explored grouping of estimations which are used to assess the execution of the entwined picture things. The far reaching persuading examination over every single potential result isn't doable. In this manuscript we assemble the distinctive estimations into multiple categories and show an utilization of the estimations to satellite descriptions with an entropy- dependant picture mix technique.
    Keywords: IHS technique; image fusion; wavelet-based picture; Image enhancement; similarity based metrics.

  • A Review on the Performance of Classification and Prediction Algorithms on Cardiology Data for the Prediction of Treadmill Test through a mobile application   Order a copy of this article
    by Jerline Amutha, R. Padmajavalli 
    Abstract: The availability of data related to heart diseases has increased enormously over the past several decades. This exponential growth of data necessitates the use of powerful data analysis tools to discover hidden patterns in the medical database for effective decision making. Data mining techniques have been widely used in medical research, particularly in Heart disease Prediction, because of their ability to extract useful knowledge and relationships from unstructured or semi-structured data. At the same time digitization of medical information and rapid usage of smart phones have led to the development of a large variety of mobile apps for disease diagnosis. In the field of Cardiology, as Treadmill Test (TMT) has been a challenging procedure, a smart mobile device can be employed for the self-assessment of the test. Our research has led to the development of a mobile application for the prediction of the result of a Treadmill Test (TMT) utilizing minimal number of clinical attributes using Data Mining algorithms.
    Keywords: Classification; Prediction; Naive Bayes Algorithm; Decision tree; K Nearest Neighbor (KNN); Cardiology.