Abstract
In order to improve the accuracy and robustness of targets tracking and positioning, this paper proposes a particle filter algorithm based on multi-feature fusion. According to the diversity of character information, a multi-feature fusion strategy based on color, texture, and edge character has been developed, which can realize the comprehensive utilization of various visual features information. A feature criterion function has been addressed to the weighted strategy of multi-feature fusion, which can adjust adaptively the weight of feature and enhance the reliability of target tracking. Combined with binocular stereo vision technology, this algorithm can locate the target by calculating the geometrical relationship between the correspondence pixel points and spatial points. The test results show that the algorithm can realize the target tracking and positioning more accurately.
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Acknowledgements
This project is supported by the National Natural Science Foundation of China (Grant No. 41274038, 41574024), the Aeronautical Science Foundation of China (Gratis No. 2013ZC51027), and the Fundamental Research Funds for the Central Universities.
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© 2016 Springer Science+Business Media Singapore
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Chen, P., Zhao, L. (2016). A Research of Targets Tracking and Positioning Algorithm Based on Multi-feature Fusion. In: Sun, J., Liu, J., Fan, S., Wang, F. (eds) China Satellite Navigation Conference (CSNC) 2016 Proceedings: Volume I. Lecture Notes in Electrical Engineering, vol 388. Springer, Singapore. https://doi.org/10.1007/978-981-10-0934-1_30
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DOI: https://doi.org/10.1007/978-981-10-0934-1_30
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