NDLI: Pose detection of partly covered target in micro-vision system

Content Provider	IEEE Xplore Digital Library
Author	Jin Su Xinhan Huang Min Wang
Copyright Year	2012
Description	Author affiliation: Key Laboratory of Image Processing and Intelligent Control of Education Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China (Jin Su; Xinhan Huang; Min Wang)
Abstract	In this paper, we focus on the need for location and pose detection of partly covered target. In micro-vision system, the accuracy of location and pose detection directly decides the effect of latter micro-operation. Former methods can't locate the target which was partly covered. According to the current problem in micro-vision system, this paper proposes a method of target location and pose detection which based on Hough transform and template matching. When the aspect ratio and area of target is certain, by detecting the shape feature and using template matching, we detect the location of target which was partly covered. Firstly, use Canny algorithm and morphology method to obtain the edge of objects. Then, use the improved Hough transform algorithm to extract line segments features and locate the candidate target region according to template matching. Finally, recognize and locate the target by detecting whether the two segments are connected to be a signal region. After recognizing target, the slant angle of the target is detected based on Hough transform. This method can exactly locate the target and get the angle. The experimental results show the proposed method is better than the former ones under complex background and partly covered targets.
Starting Page	4721
Ending Page	4725
File Size	176494
Page Count	5
File Format	PDF
ISBN	9781467313971
e-ISBN	9781467313988
DOI	10.1109/WCICA.2012.6359373
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Transforms Image edge detection Cavity resonators Target recognition Feature extraction Shape Morphology Hough transform micro-vision target location partly coved target pose detection
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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