NDLI: Finding an OSPA based object detector by aweakly supervised technique

Content Provider	IEEE Xplore Digital Library
Author	Addesso, P. Conte, R. Longo, M. Restaino, R. Vivone, G.
Copyright Year	2012
Description	Author affiliation: Department of Electronic and Computer Engineering, University of Salerno, Fisciano (SA), Italy (Addesso, P.; Conte, R.; Longo, M.; Restaino, R.; Vivone, G.)
Abstract	The design of multitarget tracking procedures includes, as the most time consuming steps, the definition of the objective class and the formulation of the detection criteria. In this paper we investigate a solution toward an intuitive way for implementing a detector for any ad-hoc application. We capitalize on the OSPA metric to discriminate between the semantic object class of interest and other look-alike classes starting from a short number of unlabeled markers. We propose an illustrative algorithm with a toy example, then we apply it to two real images, the first acquired by SEVIRI, the second by MERIS. In the first case we discriminate between lakes, sea and look-alike clouds, in the other between ground and sea ice. We show how semantic classes with very similar spectral properties can be separated even in the presence of uncertainties or errors in the ground truth.
Starting Page	4403
Ending Page	4406
File Size	268901
Page Count	4
File Format	PDF
ISBN	9781467311601
ISSN	21536996
e-ISBN	9781467311595
e-ISBN	9781467311588
DOI	10.1109/IGARSS.2012.6350397
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Detectors Lakes Search problems Sea ice Clouds Radar tracking Classification Tracking Multi-Object Detection OSPA metric
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

A new performance metric for multiple target tracking based on optimal subpattern assignment

A multi-level SAR sea ice image classification method by incorporating egg-code-based expert knowledge

Target detection and tracking with HF radar using ISAR techniques

Fast Detection of Independent Motion in Crowds Guided by Supervised Learning

Sea ice boundary detection in SAR satellite images using conflicting strength

Target detection in Rayleigh-distributed sea clutter environment based on Hough transform

Advanced techniques for automatic surface search radar correlation and tracking

Cognitive detector: A new architecture for target detection and tracking in complex environment

Non-coherent detection of slow-moving targets in high-resolution sea clutter

Finding an OSPA based object detector by aweakly supervised technique

Similar Documents

A new performance metric for multiple target tracking based on optimal subpattern assignment

A multi-level SAR sea ice image classification method by incorporating egg-code-based expert knowledge

Target detection and tracking with HF radar using ISAR techniques

Fast Detection of Independent Motion in Crowds Guided by Supervised Learning

Sea ice boundary detection in SAR satellite images using conflicting strength

Target detection in Rayleigh-distributed sea clutter environment based on Hough transform

Advanced techniques for automatic surface search radar correlation and tracking

Cognitive detector: A new architecture for target detection and tracking in complex environment

Non-coherent detection of slow-moving targets in high-resolution sea clutter

Finding an OSPA based object detector by aweakly supervised technique