NDLI: Parallel implementation of saliency maps for real-time robot vision

Content Provider	IEEE Xplore Digital Library
Author	Shirai, K. Madokoro, H. Takahashi, S. Sato, K.
Copyright Year	2014
Description	Author affiliation: Dept. of Machine Intell. & Syst. Eng., Akita Prefectural Univ., Akita, Japan (Shirai, K.; Madokoro, H.; Takahashi, S.; Sato, K.)
Abstract	This paper presents a parallel implementation model for real-time video image processing of saliency maps (SMs), which are a model to predict gaze directions based on human visual attention. It can extract high visual saliency regions that differ from surroundings in scene images. In computer vision, SMs are used for various applications because of the sparse feature representation. As an implementation device, we use IMAPCAR2, which is a single instruction multiple data (SIMD) processor with 64 processing elements (PEs). The features of IMAPCAR2 are high performance, low power consumption, and easy programming using one-dimensional C (1DC) of the ANSI-C compatible. We compared the performance of a sequential model and our parallel model for all steps. The processing speed of our model was 250 times higher than that of the sequential model. We compared our model with the existing parallel model. The processing speed of our model was 5.6 times higher than that of the existing model. For real-time video image processing, we implemented our model on an IMAPCAR2 evaluation board. The processing cost was 47.5 ms for the video images of 640 × 240 pixel resolution.
Starting Page	1046
Ending Page	1051
File Size	1236309
Page Count	6
File Format	PDF
ISSN	20937121
e-ISBN	9788993215076
DOI	10.1109/ICCAS.2014.6987945
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-22
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Control, Robotics and Systems (ICROS)
Subject Keyword	Image resolution IMAPCAR2 robot vision SIMD Saliency map parallel processing Robots Clocks
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

Real-Time Stereo with Dense Output by a SIMD-Computed Dynamic Programming Algorithm (2002)

Real time image processing architecture for robot vision (2000).

The Map Assisted Mobile Robot's Vision System - An Experiment On Real Time Environment Recognition -

Visual Saliency Based Multiple Objects Segmentation and its Parallel Implementation for Real-Time Vision Processing

Design and implementation of a stereo vision-guided omnidirectional mobile robot for real-time object tracking

A real-time machine vision system for visual information processing

SIMD, SMP and MIMD-DM parallel approaches for real-time 2D image stabilization

Real-time feature-based 3D map reconstruction for stereo visual guidance and control of mobile robots in indoor environments

EyeBot: a family of autonomous mobile robots

Parallel implementation of saliency maps for real-time robot vision

Similar Documents

Real-Time Stereo with Dense Output by a SIMD-Computed Dynamic Programming Algorithm (2002)

Real time image processing architecture for robot vision (2000).

The Map Assisted Mobile Robot's Vision System - An Experiment On Real Time Environment Recognition -

Visual Saliency Based Multiple Objects Segmentation and its Parallel Implementation for Real-Time Vision Processing

Design and implementation of a stereo vision-guided omnidirectional mobile robot for real-time object tracking

A real-time machine vision system for visual information processing

SIMD, SMP and MIMD-DM parallel approaches for real-time 2D image stabilization

Real-time feature-based 3D map reconstruction for stereo visual guidance and control of mobile robots in indoor environments

EyeBot: a family of autonomous mobile robots

Parallel implementation of saliency maps for real-time robot vision