In order to overcome the problems of high error rate and poor tracking effect of traditional algorithms, a multi-region fusion-based feature trackingalgorithm for long-distance runners was proposed in this paper. Fir...
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In order to overcome the problems of high error rate and poor tracking effect of traditional algorithms, a multi-region fusion-based feature trackingalgorithm for long-distance runners was proposed in this paper. Firstly, the multi-region template voting strategy is adopted to classify and obtain face features by dividing face feature similarity threshold in different regions through regional feature similarity classification. Then, the mean shift tracking algorithm was used to complete the target object modelling, and the pap coefficient was used as the evaluation standard of model similarity measurement, and the face features were tracked through iterative operation. Experimental results show that the recognition accuracy of this algorithm is higher than 92% in different situations, and the tracking error of the centre position is always below 20 pixels in different angles and complex environments, which fully proves the effectiveness of this algorithm.
With the help of advanced image acquisition and processing technology, the vision-based measurement methods have been broadly applied to implement the structural monitoring and condition identification of civil engine...
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With the help of advanced image acquisition and processing technology, the vision-based measurement methods have been broadly applied to implement the structural monitoring and condition identification of civil engineering structures. Many noncontact approaches enabled by different digital image processing algorithms are developed to overcome the problems in conventional structural dynamic displacement measurement. This paper presents three kinds of image processing algorithms for structural dynamic displacement measurement, i.e., the grayscale pattern matching (GPM) algorithm, the color pattern matching (CPM) algorithm, and the meanshifttracking (MST) algorithm. A vision-based system programmed with the three image processing algorithms is developed for multi-point structural dynamic displacement measurement. The dynamic displacement time histories of multiple vision points are simultaneously measured by the vision-based system and the magnetostrictive displacement sensor (MDS) during the laboratory shaking table tests of a three-story steel frame model. The comparative analysis results indicate that the developed vision-based system exhibits excellent performance in structural dynamic displacement measurement by use of the three different image processing algorithms. The field application experiments are also carried out on an arch bridge for the measurement of displacement influence lines during the loading tests to validate the effectiveness of the vision-based system.
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