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Pedestrian Detection Technique’s – A Review
by
Vrushali B. Ghule,
S.S. Katariya
| Communications on Applied Electronics |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 3 - Number 6 |
| Year of Publication: 2015 |
| Authors: Vrushali B. Ghule, S.S. Katariya |
10.5120/cae2015651935
|
Vrushali B. Ghule, S.S. Katariya . Pedestrian Detection Technique’s – A Review. Communications on Applied Electronics. 3, 6 ( December 2015), 10-12. DOI=10.5120/cae2015651935
@article{
10.5120/cae2015651935,
author = {
Vrushali B. Ghule,
S.S. Katariya
},
title = { Pedestrian Detection Technique’s – A Review },
journal = {
Communications on Applied Electronics
},
issue_date = { December 2015 },
volume = { 3 },
number = { 6 },
month = { December },
year = { 2015 },
issn = { 2394-4714 },
pages = {
10-12
},
numpages = {9},
url = {
https://www.caeaccess.org/archives/volume3/number6/470-2015651935/
},
doi = { 10.5120/cae2015651935 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T19:43:34.763576+05:30
%A Vrushali B. Ghule
%A S.S. Katariya
%T Pedestrian Detection Technique’s – A Review
%J Communications on Applied Electronics
%@ 2394-4714
%V 3
%N 6
%P 10-12
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Pedestrian is a main part of the road system.To detect pedestrian is a critical thing in a computer vision .There are many methods are available to detect pedestrian and subsequently to take some action.In this review based paper we have discussed some popular techniques.
References
- D. Geronimo, A.M. Lopez, A.D. Sappa, and T. Graf, “Survey on Pedestrian Detection for Advanced Driver Assistance Systems,”IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 32, no. 7, pp. 1239-1258, July 2010
- M. Enzweiler and D.M. Gavrila, “Monocular PedestrianDetection: Survey and Experiments,” IEEE Trans. PatternAnalysis and Machine Intelligence, vol. 31, no. 12, pp. 2179-2195, Dec. 2009.
- N. Dalal and B. Triggs, “Histograms of Oriented Gradients for Human Detection,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2005.
- D. Martin, C. Fowlkes, and J. Malik, “Learning to Detect Natural Image Boundaries Using Local Brightness, Color, and Texture Cues,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 5, pp. 530-549, May 2004.
- D. Scharstein and R. Szeliski, “A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms,” Int’l J. Computer Vision, vol. 47, pp. 7-42, 2002.
- E. Seemann, M. Fritz, and B. Schiele, “Towards Robust Pedestrian Detection in Crowded Image Sequences,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2007
- M. Hussein, F. Porikli, and L. Davis, “A ComprehensiveEvaluation Framework and a Comparative Study for HumanDetectors,” IEEE Trans. Intelligent Transportation Systems, vol. 10,no. 3, pp. 417-427, Sept. 2009.
- T. Ojala, M. Pietik¨ainen, and D. Harwood. A comparativestudy of texture measures with classification based on featured distributions. Pattern Recognition, 29(1):51–59, 1996
- C.H. Lampert, M.B. Blaschko, and T. Hofmann, “Beyond Sliding Windows: Object Localization by Effcient subwindow Search,” Proc. IEEE Conf. Computer Vision and Pattern Recognition, 2008.
- T. Moeslund, A. Hilton, and V. Kru¨ ger, “A Survey of Advances in Vision-Based Human Motion Capture and Analysis,” Computer Vision and Image Understanding, vol. 104, nos. 2/3, pp. 90-126, 2006
- T. Gandhi and M.M. Trived, “Pedestrian Protection Systems:Issues, Survey, and Challenges,” IEEE Trans. Intelligent Transportation Systems, vol. 8, no. 3, pp. 413-430, Sept. 2007.
- M. Bertozzi, A. Broggi, R. Chapuis, F. Chausse, A. Fascioli, and A.Tibaldi, “Shape-Based Pedestrian Detection and Localization,”Proc. IEEE Int’l Conf. Intelligent Transportation Systems, pp. 328-333,2003.
- Wentao Yao, Zhidong Deng” A Robust Pedestrian Detection Approach Based on Shapelet Feature and Haar Detector Ensembles” Tsinghua Science and Technology Volume 17, Number 1, February 2012 llpp40-50
- Pawan Sinha,Tomaso A.Poggio “Pedestrian detection using wavelet templates”Processing /CVRR,iee computer society conference on computer vision and pattern recognition.-1977
- Shuoping Wang, Zhike Han, Li Zhu and Qi Chen,” A Novel Approach to Design the Fast Pedestrian Detection for Video Surveillance System” International Journal of Security and Its Applications Vol.8, No.1 (2014), pp.93-102
- K. Fukushima, S. Miyake, and T. Ito, “Neocognitron: A Neural Network Model for a Mechanism of Visual Pattern Recognition,”IEEE Trans. Systems, Man, and Cybernetics, vol. 13, pp. 826-834,1983
- P. Viola, M. Jones, and D. Snow, “Detecting Pedestrians Using Patterns of Motion and Appearance,” Int’l J. Computer Vision, vol. 63, no. 2, pp. 153-161, 2005
Index Terms
Computer Science
Information Sciences
Keywords