Moving target location by neighbour-search algorithm

Dinggang Shen; Yen Wu; Feihu Qi

doi:10.1109/SIPNN.1994.344916

Moving target location by neighbour-search algorithm

Dinggang Shen, Yen Wu, Feihu Qi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

An effective moving object location algorithm using the neighbour-search algorithm (NSA) is proposed. The NSA can be used for real time applications. In order to locate the moving targets accurately, mapping of the target's statistics is suggested followed by the NSA. In fact, the NSA has the ability to locate any size targets effectively on the image plane. Owing to a large quantity of noise existing in our task, a fast median noise filter is suggested to remove it. Some noise may exist after filtering, and it is fortunate that the NSA can negate it. For a more accurate location, the NSA can be used twice for every target. In the first time the target is searched roughly and in the second time the NSA is used to search for the target accurately in the detected area by reducing the mapping ratio m. Experimental results show the effectiveness of our algorithm.

Original language	English
Title of host publication	ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	264-267
Number of pages	4
ISBN (Electronic)	078031865X, 9780780318656
DOIs	https://doi.org/10.1109/SIPNN.1994.344916
Publication status	Published - 1994
Externally published	Yes
Event	1994 International Symposium on Speech, Image Processing and Neural Networks, ISSIPNN 1994 - Hong Kong, Hong Kong Duration: 1994 Apr 13 → 1994 Apr 16

Publication series

Name	ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings

Conference

Conference	1994 International Symposium on Speech, Image Processing and Neural Networks, ISSIPNN 1994
Country/Territory	Hong Kong
City	Hong Kong
Period	94/4/13 → 94/4/16

Bibliographical note

Funding Information:
Detection of moving target i n the first step of the proposed algorithm. First, we assume the environment of our task. In our task, the camera is allowed to move with any direction. The number of targets is permitted to be more than 1. Supposed that the movement of the targets on the image plane is small during the period between the two consecutive images. It is a reasonable assumption in most cases, because the distance between the targets and camera is usually much far. Thus the rough image areas of the moving targets,w.lth noise, Supported by the Climbing Programme-National Key Project for Foundamentsl Research in China, Grant NSC 92097.

Publisher Copyright:
© 1994 IEEE.

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Computer Vision and Pattern Recognition
Signal Processing
Linguistics and Language

Access to Document

10.1109/SIPNN.1994.344916

Cite this

Shen, D., Wu, Y., & Qi, F. (1994). Moving target location by neighbour-search algorithm. In ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings (pp. 264-267). Article 344916 (ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SIPNN.1994.344916

Moving target location by neighbour-search algorithm. / Shen, Dinggang; Wu, Yen; Qi, Feihu.
ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings. Institute of Electrical and Electronics Engineers Inc., 1994. p. 264-267 344916 (ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Shen, D, Wu, Y & Qi, F 1994, Moving target location by neighbour-search algorithm. in ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings., 344916, ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 264-267, 1994 International Symposium on Speech, Image Processing and Neural Networks, ISSIPNN 1994, Hong Kong, Hong Kong, 94/4/13. https://doi.org/10.1109/SIPNN.1994.344916

Shen D, Wu Y, Qi F. Moving target location by neighbour-search algorithm. In ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings. Institute of Electrical and Electronics Engineers Inc. 1994. p. 264-267. 344916. (ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings). doi: 10.1109/SIPNN.1994.344916

Shen, Dinggang ; Wu, Yen ; Qi, Feihu. / Moving target location by neighbour-search algorithm. ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings. Institute of Electrical and Electronics Engineers Inc., 1994. pp. 264-267 (ISSIPNN 1994 - 1994 International Symposium on Speech, Image Processing and Neural Networks, Proceedings).

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abstract = "An effective moving object location algorithm using the neighbour-search algorithm (NSA) is proposed. The NSA can be used for real time applications. In order to locate the moving targets accurately, mapping of the target's statistics is suggested followed by the NSA. In fact, the NSA has the ability to locate any size targets effectively on the image plane. Owing to a large quantity of noise existing in our task, a fast median noise filter is suggested to remove it. Some noise may exist after filtering, and it is fortunate that the NSA can negate it. For a more accurate location, the NSA can be used twice for every target. In the first time the target is searched roughly and in the second time the NSA is used to search for the target accurately in the detected area by reducing the mapping ratio m. Experimental results show the effectiveness of our algorithm.",

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note = "Funding Information: Detection of moving target i n the first step of the proposed algorithm. First, we assume the environment of our task. In our task, the camera is allowed to move with any direction. The number of targets is permitted to be more than 1. Supposed that the movement of the targets on the image plane is small during the period between the two consecutive images. It is a reasonable assumption in most cases, because the distance between the targets and camera is usually much far. Thus the rough image areas of the moving targets,w.lth noise, Supported by the Climbing Programme-National Key Project for Foundamentsl Research in China, Grant NSC 92097. Publisher Copyright: {\textcopyright} 1994 IEEE.; 1994 International Symposium on Speech, Image Processing and Neural Networks, ISSIPNN 1994 ; Conference date: 13-04-1994 Through 16-04-1994",

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AB - An effective moving object location algorithm using the neighbour-search algorithm (NSA) is proposed. The NSA can be used for real time applications. In order to locate the moving targets accurately, mapping of the target's statistics is suggested followed by the NSA. In fact, the NSA has the ability to locate any size targets effectively on the image plane. Owing to a large quantity of noise existing in our task, a fast median noise filter is suggested to remove it. Some noise may exist after filtering, and it is fortunate that the NSA can negate it. For a more accurate location, the NSA can be used twice for every target. In the first time the target is searched roughly and in the second time the NSA is used to search for the target accurately in the detected area by reducing the mapping ratio m. Experimental results show the effectiveness of our algorithm.

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ER -

Moving target location by neighbour-search algorithm

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus subject areas

Access to Document

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