Dec. 2017

Article Contents

Chinese Optics> 2017> 10(6): 719-725.

LONG Si-yuan, ZHANG Bao, SONG Ce, SUN Bao-ji. Object detection based on improved speeded-up robust features[J]. Chinese Optics, 2017, 10(6): 719-725. doi: 10.3788/CO.20171006.0719

Citation:

LONG Si-yuan, ZHANG Bao, SONG Ce, SUN Bao-ji. Object detection based on improved speeded-up robust features[J].Chinese Optics, 2017, 10(6): 719-725.doi:10.3788/CO.20171006.0719

LONG Si-yuan, ZHANG Bao, SONG Ce, SUN Bao-ji. Object detection based on improved speeded-up robust features[J]. Chinese Optics, 2017, 10(6): 719-725. doi: 10.3788/CO.20171006.0719

Citation:

LONG Si-yuan, ZHANG Bao, SONG Ce, SUN Bao-ji. Object detection based on improved speeded-up robust features[J].Chinese Optics, 2017, 10(6): 719-725.doi:10.3788/CO.20171006.0719

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Object detection based on improved speeded-up robust features

doi:10.3788/CO.20171006.0719

LONG Si-yuan^{1, 2,},
ZHANG Bao^1,,,
SONG Ce¹,
SUN Bao-ji^{1, 2}

1.
Key Laboratory of Airborne Optical Imaging and Measurement, Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
2.
University of Chinese Academy of Sciences, Beijing 100049, China

Funds:

Major Innovation Project of CIOMP, CAS, ChinaY3CX1SS14C

More Information

Corresponding author:ZHANG Bao, E-mail:cleresky@vip.sina.com
Received Date:11 May 2017
Rev Recd Date:13 Jul 2017
Publish Date:01 Dec 2017

Abstract

Abstract

To improve the real-time performance and the accuracy of the SURF algorithm, an algorithm combined with AGAST corner detector and improved SURF feature descriptor is proposed. Firstly, feature points are detected by using AGAST corner detection template. Secondly, the Haar wavelet response with increased diagonal information is used to generate descriptor of feature points. Then, the generated descriptor is encoded by the feature bag and a new feature vector is generated. At last, the classification is fulfilled by Support Vector Machine(SVM). Finally, SVM is used to classify the feature vectors to complete the detection. Detection experiments for different view-points, illumination and scales are conducted respectively using SIFT and SURF algorithm as a control. The results show that the average detection rate of this algorithm is 98.0%, 96.9% and 97.1%, and the average time is 66.1 ms, 79.3 ms and 41.0 ms, respectively, which is better than that of SURF algorithm, and the time consumption is about 1/3 of the SURF algorithm.
- image processing,
- object detection,
- Speeded-Up Robust Features,
- AGAST corner detection

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References (15)

References

[1]	贾平, 徐宁, 张叶.基于局部特征提取的目标自动识别[J].光学精密工程, 2013, 21(7):1898-1905. http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gxjm201307035&dbname=CJFD&dbcode=CJFQ JIA P, XU N, ZHANG Y. Automatic target recognition based on local feature extraction[J]. Opt. Precision Eng., 2013, 21(7):1898-1905.(in Chinese) http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gxjm201307035&dbname=CJFD&dbcode=CJFQ
[2]	赵春阳, 赵怀慈.多模态鲁棒的局部特征描述符[J].光学精密工程, 2015, 23(5):1474-1483. http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gxjm201505035&dbname=CJFD&dbcode=CJFQ ZHAO CH Y, ZHAO H C. Multimodality robust local feature descriptors[J]. Opt. Precision Eng., 2015, 23(5):1474-1483.(in Chinse) http://kns.cnki.net/KCMS/detail/detail.aspx?filename=gxjm201505035&dbname=CJFD&dbcode=CJFQ
[3]	LOWE D. Distinctive image features from scale-invariant keypoints[J]. International J. Computer Vision, 2004, 60(2):91-110. doi:10.1023/B:VISI.0000029664.99615.94
[4]	HARRIS C, STEPHENS M. A combined corner and edge detector[J]. Alvey Vision Conference, 1988(3):147-151. http://ci.nii.ac.jp/naid/10007785664/
[5]	BAY H, TUYTELAARS T, VAN GOOL L. SURF:speeded-up robust features[J]. Computer Vision & Image Understanding, 2006, 110(3):404-417. http://www.springerlink.com/index/e580h2k58434p02k.pdf
[6]	MIKOLAJCZYK K, SCHMID C. A performance evaluation of local descriptors[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(10):1615-1630. doi:10.1109/TPAMI.2005.188
[7]	王飞宇, 邸男, 贾平.结合尺度空间FAST角点检测器和SURF描绘器的图像特征[J].液晶与显示, 2014, 29(4):598-604. http://kns.cnki.net/KCMS/detail/detail.aspx?filename=yjys201404025&dbname=CJFD&dbcode=CJFQ WANG F Y, DI N, JIA P. Image features using scale-space FAST corner detector and SURF descriptor[J]. Chinese J. Liquid Crystals and Displays, 2014, 29(4):598-604.(in Chinese) http://kns.cnki.net/KCMS/detail/detail.aspx?filename=yjys201404025&dbname=CJFD&dbcode=CJFQ
[8]	成培瑞, 王建立, 王斌, 等.基于多尺度区域对比的显著目标识别[J].中国光学, 2016, 9(1):97-105. //www.illord.com/CN/abstract/abstract9392.shtml CHENG P R, WANG J L, WANG B, et al.. Salient object detection based on multi-scale region contrast[J]. Chinese Optics, 2016, 9(1):97-105.(in Chinese) //www.illord.com/CN/abstract/abstract9392.shtml
[9]	武治国, 李桂菊.动态目标识别中的实时复杂巡航场景运动检测[J].液晶与显示, 2014, 29(5):844-849. http://kns.cnki.net/KCMS/detail/detail.aspx?filename=yjys201405036&dbname=CJFD&dbcode=CJFQ WU ZH G, LI G J. Real-time complex cruise scene detection technology in target recognition[J]. Chinese J. Liquid Crystals and Displays, 2014, 29(5):844-849.(in Chinese) http://kns.cnki.net/KCMS/detail/detail.aspx?filename=yjys201405036&dbname=CJFD&dbcode=CJFQ
[10]	MAIR E, HAGER G, BURSCHKA D, et al.. Adaptive and generic corner detection based on the accelerated segment test[J]. Computer Vision-ECCV, 2010, 2010:183-196. doi:10.1007/978-3-642-15552-9_14
[11]	王丽.融合底层和中层字典特征的行人重识别[J].中国光学, 2016, 9(5):540-546. //www.illord.com/CN/abstract/abstract9441.shtml WANG L. Pedestrian re-identification based on fusing low-level and mid-level features[J]. Chinese Optics, 2016, 9(5):540-546.(in Chinese) //www.illord.com/CN/abstract/abstract9441.shtml
[12]	ZHANG H, HU Q. Fast image matching based-on improved SURF algorithm[C]. International Conference on Electronics, Communications and Automation Control, IEEE, 2011:1460-1463.
[13]	ROSTEN E, PORTER R B, DRUMMOND T, et al.. Faster and better:a machine learning approach to corner detection[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2010, 32(1):105-119. doi:10.1109/TPAMI.2008.275
[14]	CSURKA G, DANCE C, FAN L, et al.. Visual categorization with bags of keypoints[C]. 8th European Conference on Computer Vision, Progue, Czech Republic, 2004:1-22.
[15]	DONGHOON K, ROZENN D. Face components detection using SURF descriptors and SVMs[C]. IEEE International Machine Vision and Image Processing Conference, IEEE, 2008:51-56.