NDLI: FPGA-based pedestrian detection under strong distortions

Content Provider	IEEE Xplore Digital Library
Author	Tasson, D. Montagnini, A. Marzotto, R. Farenzena, M. Cristani, M.
Copyright Year	2015
Description	Author affiliation: Univ. of Verona, Verona, Italy (Cristani, M.) \|\| eVS Embedded Vision Syst. srl, Verona, Italy (Tasson, D.; Montagnini, A.; Marzotto, R.; Farenzena, M.)
Abstract	Pedestrian detection is one of the most popular computer vision challenges in the automotive, security and domotics industries, with several new approaches and benchmarks proposed every year. All of them typically consider the pedestrians in a standing pose, but this assumption is not always applicable. It is the case of embedded camera systems used for crowd monitoring or in driving assistance systems for big vehicles maneuvering. Such systems are commonly installed as higher as possible and make use of fish-eye lenses to provide a top and wide field of view. Actually, such configurations introduce both perspective and optical distortions in the image that, even when corrected, still provide stretched silhouettes that can hardly be detected by cutting-edge pedestrian detection algorithms. In this paper we focus on this scenario, showing (a) that one of the most effective models for pedestrian detection, that is the Deformable Part Model (DPM), can be efficiently implemented in FPGA to dramatically speed up the computation, and (b) how it can be modified for dealing with highly distorted pictures of humans. The resulting framework, dubbed Deformable Part Model for Local Spatial Deformations (DPM-LSD), gives convincing figure of merits in terms of accuracy and throughput, on a new top-view fish-eye based pedestrian dataset (dubbed Fish-Eyed Pedestrians), also comparing with widely-used competitors (standard DPM and Dalal-Triggs).
Starting Page	65
Ending Page	70
File Size	661398
Page Count	6
File Format	PDF
ISSN	21607516
e-ISBN	9781467367592
DOI	10.1109/CVPRW.2015.7301368
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-06-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Deformable models Support vector machines Streaming media Cameras Field programmable gate arrays Lenses
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

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