Object detection based on multiclass discriminative field

Xiaofeng Zhang; Qiaoyu Sun; Yue Lu

doi:10.1007/978-3-642-25664-6_58

Object detection based on multiclass discriminative field

Xiaofeng Zhang^*
, Qiaoyu Sun
, Yue Lu

^*此作品的通讯作者

通信与电子工程学院

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

In this paper, we present a novel object detection scheme that uses information of the sample fragments. These sample fragments are extracted by decomposition of the sample contour. Then, the candidate fragments corresponding to the sample fragments are detected from the images by partial Hausdorff distance. The Multiclass Discriminative Field (MDF) is used to select the most probable fragments from candidate fragments. The parameter estimation and inference of the MDF are simplified by using the candidate fragments as nodes of a graph. With these selected fragments, the contours of the objects can be obtained. The experiments on our postmark database and the ETHZ database show the feasibility of our proposed scheme.

源语言	英语
主期刊名	Foundations of Intelligent Systems
主期刊副标题	Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011)
编辑	Yinglin Wang, Tianrui Li
页	495-500
页数	6
DOI	https://doi.org/10.1007/978-3-642-25664-6_58
出版状态	已出版 - 2011

出版系列

姓名	Advances in Intelligent and Soft Computing
卷	122
ISSN（印刷版）	1867-5662

访问文件

10.1007/978-3-642-25664-6_58

其它文件与链接

链接到 Scopus 的出版物

引用此

Zhang, X., Sun, Q., & Lu, Y. (2011). Object detection based on multiclass discriminative field. 在 Y. Wang, & T. Li (编辑), Foundations of Intelligent Systems: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011) (页码 495-500). (Advances in Intelligent and Soft Computing; 卷 122). https://doi.org/10.1007/978-3-642-25664-6_58

Zhang, Xiaofeng ; Sun, Qiaoyu ; Lu, Yue. / Object detection based on multiclass discriminative field. Foundations of Intelligent Systems: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011). 编辑 / Yinglin Wang ; Tianrui Li. 2011. 页码 495-500 (Advances in Intelligent and Soft Computing).

@inproceedings{fdd456d23a654975b77094c775ff833f,

title = "Object detection based on multiclass discriminative field",

abstract = "In this paper, we present a novel object detection scheme that uses information of the sample fragments. These sample fragments are extracted by decomposition of the sample contour. Then, the candidate fragments corresponding to the sample fragments are detected from the images by partial Hausdorff distance. The Multiclass Discriminative Field (MDF) is used to select the most probable fragments from candidate fragments. The parameter estimation and inference of the MDF are simplified by using the candidate fragments as nodes of a graph. With these selected fragments, the contours of the objects can be obtained. The experiments on our postmark database and the ETHZ database show the feasibility of our proposed scheme.",

keywords = "Hausdorff distance, Multiclass Discriminative Field, Object detection",

author = "Xiaofeng Zhang and Qiaoyu Sun and Yue Lu",

year = "2011",

doi = "10.1007/978-3-642-25664-6\_58",

language = "英语",

isbn = "9783642256639",

series = "Advances in Intelligent and Soft Computing",

pages = "495--500",

editor = "Yinglin Wang and Tianrui Li",

booktitle = "Foundations of Intelligent Systems",

}

Zhang, X, Sun, Q & Lu, Y 2011, Object detection based on multiclass discriminative field. 在 Y Wang & T Li (编辑), Foundations of Intelligent Systems: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011). Advances in Intelligent and Soft Computing, 卷 122, 页码 495-500. https://doi.org/10.1007/978-3-642-25664-6_58

Object detection based on multiclass discriminative field. / Zhang, Xiaofeng; Sun, Qiaoyu; Lu, Yue.
Foundations of Intelligent Systems: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011). 编辑 / Yinglin Wang; Tianrui Li. 2011. 页码 495-500 (Advances in Intelligent and Soft Computing; 卷 122).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Object detection based on multiclass discriminative field

AU - Zhang, Xiaofeng

AU - Sun, Qiaoyu

AU - Lu, Yue

PY - 2011

Y1 - 2011

N2 - In this paper, we present a novel object detection scheme that uses information of the sample fragments. These sample fragments are extracted by decomposition of the sample contour. Then, the candidate fragments corresponding to the sample fragments are detected from the images by partial Hausdorff distance. The Multiclass Discriminative Field (MDF) is used to select the most probable fragments from candidate fragments. The parameter estimation and inference of the MDF are simplified by using the candidate fragments as nodes of a graph. With these selected fragments, the contours of the objects can be obtained. The experiments on our postmark database and the ETHZ database show the feasibility of our proposed scheme.

AB - In this paper, we present a novel object detection scheme that uses information of the sample fragments. These sample fragments are extracted by decomposition of the sample contour. Then, the candidate fragments corresponding to the sample fragments are detected from the images by partial Hausdorff distance. The Multiclass Discriminative Field (MDF) is used to select the most probable fragments from candidate fragments. The parameter estimation and inference of the MDF are simplified by using the candidate fragments as nodes of a graph. With these selected fragments, the contours of the objects can be obtained. The experiments on our postmark database and the ETHZ database show the feasibility of our proposed scheme.

KW - Hausdorff distance

KW - Multiclass Discriminative Field

KW - Object detection

UR - https://www.scopus.com/pages/publications/84555170672

U2 - 10.1007/978-3-642-25664-6_58

DO - 10.1007/978-3-642-25664-6_58

M3 - 会议稿件

AN - SCOPUS:84555170672

SN - 9783642256639

T3 - Advances in Intelligent and Soft Computing

SP - 495

EP - 500

BT - Foundations of Intelligent Systems

A2 - Wang, Yinglin

A2 - Li, Tianrui

ER -

Zhang X, Sun Q, Lu Y. Object detection based on multiclass discriminative field. 在 Wang Y, Li T, 编辑, Foundations of Intelligent Systems: Proceedings of the Sixth International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011). 2011. 页码 495-500. (Advances in Intelligent and Soft Computing). doi: 10.1007/978-3-642-25664-6_58

Object detection based on multiclass discriminative field

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