NDLI: Novel two-stage algorithm for non-parametric cast shadow recognition

Content Provider	IEEE Xplore Digital Library
Author	Roser, M. Lenz, P.
Copyright Year	2011
Description	Author affiliation: Institute for Measurement and Control Systems, Karlsruhe Institute of Technology (KIT), D-76131, Germany (Roser, M.; Lenz, P.)
Abstract	Environment perception and scene understanding is an important issue for modern driver assistance systems. However, adverse weather situations and disadvantageous illumination conditions like cast shadows have a negative effect on the proper operation of these systems. In this paper, we propose a novel approach for cast shadow recognition in monoscopic color images. In a first step, shadow edge candidates are extracted evaluating binarized channels in the color-opponent and perceptually uniform CIE Lab* space. False detections are rejected in a second verification step, using SVM classification and a combination of meaningful color features. We introduce a non-parametric representation for complex shadow edge geometries that enables utilizing shadow edge information for improving downstream vision-based driver assistance systems. A quantitative evaluation of the classification performance as well as results on multiple real-world traffic scenes show a reliable cast shadow recognition with only a few false detections.
Starting Page	1116
Ending Page	1121
File Size	1008826
Page Count	6
File Format	PDF
ISBN	9781457708909
ISSN	19310587
e-ISBN	9781457708916
DOI	10.1109/IVS.2011.5940560
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-06-05
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Image color analysis Feature extraction Lighting Kernel Error analysis Computer vision
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 novel two-stage algorithm for non-parametric cast shadow recognition.

Automatic Feature Learning for Robust Shadow Detection

Cast shadow detection and removal in a real-time environment

Human Shadow Removal with Unknown Light Source

Shadow Boundaries Identification in Single Natural Images via Multiple Kernels Learning

Comparative Analysis for Detecting Objects Under Cast Shadows in Video Images

An Online Learning Method for Shadow Detection

Shadow detection in remote sensing images based on weighted edge gradient ratio

Pattern Recognition and Computer vision for Mineral Froth

Novel two-stage algorithm for non-parametric cast shadow recognition

Similar Documents

A novel two-stage algorithm for non-parametric cast shadow recognition.

Automatic Feature Learning for Robust Shadow Detection

Cast shadow detection and removal in a real-time environment

Human Shadow Removal with Unknown Light Source

Shadow Boundaries Identification in Single Natural Images via Multiple Kernels Learning

Comparative Analysis for Detecting Objects Under Cast Shadows in Video Images

An Online Learning Method for Shadow Detection

Shadow detection in remote sensing images based on weighted edge gradient ratio

Pattern Recognition and Computer vision for Mineral Froth

Novel two-stage algorithm for non-parametric cast shadow recognition