NDLI: Find you wherever you are: geographic location and environment context-based pedestrian detection

Please wait, while we are loading the content...

State of the Geotag: where are we?

Exploring Geotagged images for land-use classification

The movie mashup application MoMa: geolocalizing and finding movies

Find you wherever you are: geographic location and environment context-based pedestrian detection

Conjunctive ranking function using geographic distance and image distance for geotagged image retrieval

Sight surfers: 360º videos and maps navigation

Gender-based models of location from flickr

Toponym-based geotagging for observing precipitation from social and scientific data streams

Find you wherever you are: geographic location and environment context-based pedestrian detection

Content Provider	ACM Digital Library
Author	Shi, Zhongchao Guan, Haike Wang, Gang Liu, Yuan
Abstract	Most existing approaches to pedestrian detection only use the visual appearances as the main source in real world images. However, the visual information cannot always provide reliable guidance since pedestrians often change pose or wear different clothes under different conditions. In this work, by leveraging a vast amount of Web images, we first construct a contextual image database, in which each image is automatically attached with geographic location (i.e., latitude and longitude) and environment information (i.e., season, time and weather condition), assisted by image metadata and a few pre-trained classifiers. For the further pedestrian detection, an annotation scheme is presented which can sharply decrease manual labeling efforts. Several properties of the contextual image database are studied including whether the database is authentic and helpful for pedestrian detection. Moreover, we propose a context-based pedestrian detection approach by jointly exploring visual and contextual cues in a probabilistic model. Encouraging results are reported on our contextual image database.
Starting Page	27
Ending Page	32
Page Count	6
File Format	PDF
ISBN	9781450315906
DOI	10.1145/2390790.2390801
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2012-10-29
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Context-based object detection Contextual image database Pedestrian detection Bayesian network
Content Type	Text
Resource Type	Article

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

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