NDLI: SIFT-based object recognition for tracking in infrared imaging system

Content Provider	IEEE Xplore Digital Library
Author	Changhan Park Sunghun Jung
Copyright Year	2009
Description	Author affiliation: SIAT, Samsung Thales Co., Ltd., 304, Chang-li, Namsa-Myun, Cheoin-Gu, Yongin, Gyeonggi 449-886, Korea (Changhan Park; Sunghun Jung)
Abstract	In this paper, we propose an automatic object tracking and recognition in unknown environments by using scale-invariant feature transform (SIFT) in PowerPC-based infrared (IR) imaging system. Proposed method consists of two stages. First, we must localize the interest point in position and scale of moving objects. Second, we must build a description of the interest point and recognize moving objects. Proposed SIFT method for an effective feature extraction in PowerPC-based IR imaging system consists of scale space, extrema detection, orientation assignment, key point description, and feature matching. SIFT descriptor sets up extensive range about 1.5 times than visual image when feature value of SIFT in IR image is less than visual image. Based on experimental results, the proposed method is extracted object's feature values in our system, and the result is presented by experiment.
Starting Page	1
Ending Page	2
File Size	353923
Page Count	2
File Format	PDF
ISBN	9781424454167
DOI	10.1109/ICIMW.2009.5325785
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-21
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object recognition Infrared imaging Feature extraction Morphological operations Optical imaging Object segmentation Image recognition Infrared detectors Object detection Lighting
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Object Detection Based on Feature Extraction and Morphological Operations

Wavelet Feature Based Neural Classifier System for Object Classification with Complex Background

X-corner detection based on segment test applied in optical pose tracking system

Morphological shared-weight neural networks: a tool for automatic target recognition beyond the visible spectrum

Substation equipment image recognition based on SIFT feature matching

Tracking of moving object based on optical flow detection

Segmentation strategies with multiple analysis for an SMD object recognition system

An Object Tracking System Based on SIFT and SURF Feature Extraction Methods

Stereo Face Modeling for Feature Extraction in an Infrared Image

SIFT-based object recognition for tracking in infrared imaging system

Similar Documents

Object Detection Based on Feature Extraction and Morphological Operations

Wavelet Feature Based Neural Classifier System for Object Classification with Complex Background

X-corner detection based on segment test applied in optical pose tracking system

Morphological shared-weight neural networks: a tool for automatic target recognition beyond the visible spectrum

Substation equipment image recognition based on SIFT feature matching

Tracking of moving object based on optical flow detection

Segmentation strategies with multiple analysis for an SMD object recognition system

An Object Tracking System Based on SIFT and SURF Feature Extraction Methods

Stereo Face Modeling for Feature Extraction in an Infrared Image

SIFT-based object recognition for tracking in infrared imaging system