Research on the Harris Algorithm of Feature Extraction for Moving Targets in the Video

Jun Yan; Yan Piao

doi:10.4028/www.scientific.net/AMM.741.378

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 741Research on the Harris Algorithm of Feature...

Research on the Harris Algorithm of Feature Extraction for Moving Targets in the Video

Abstract:

This paper studies a problem which is the rapid acquisition feature information of moving targets in a video sequence. Selecting the harris algorithm as a feature extraction algorithm, but harris algorithm has a problem of running slowly .Opting 3 * 3 window as the detection window, analyzing the similarity between the window capacity pixel and central pixel, then using the difference to measure this similarity of pixels, when the difference is greater than the set threshold value, we thought they are different, otherwise they are similar.After that characteristics of regional screening was completed. The target areas were divided into feature areas and non-feature regions, but we only calculated the response functions of characteristic areas. The algorithm^’s executing efficiency improved.

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Periodical:

Applied Mechanics and Materials (Volume 741)

Pages:

378-381

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.741.378

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Online since:

March 2015

Authors:

Jun Yan, Yan Piao*

Keywords:

Corner, Harris, Moving Targets

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* - Corresponding Author

References

[1] Chen Baifan, Cai Zixing. Scale space theory based on harris corner detection[J]. Journal of Central South University: Natural Science Edition, 2005. 751-754.

Google Scholar

[2] Zhao Wanjin, Gong Shengrong, Liu Chunping, Shen Xiangjun. An adaptive Harris corner detection algorithm[J]. Computer Engineering, (2008).

Google Scholar

[3] Wang Mingang, Wang Chao, Fan Yingping, Yang Yao. Improved algorithm for corner detection based on Harris[J] . computer simulation, (2012).

Google Scholar