全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于非最大抑制聚类的视频人数估测方法

, PP. 150-156

Keywords: 人数估计,非最大抑制,聚类,远距离人群

Full-Text   Cite this paper   Add to My Lib

Abstract:

对于基准背景已知的固定场景,提出估测人数的四步框架,相比2010年D。Conte等的结果显著提高远距离人群的估测精度。精度提高的主要原因在于“非最大抑制聚类”,这种基于密度的聚类方法对不同拍摄距离的人群采取不同的聚类标准,避免类过大造成的后续问题。PETS2010数据库的实验表明,远距离高密度人群因被分为多类,估测精度明显提高。

References

[1]  Rittscher J,Tu P H,Krahnstoever N.Simultaneous Estimation of Segmentation and Shape.Computer Vision and Pattern Recognition,2005,21(2): 10-15
[2]  Brostow G J,Cipolla R.Unsupervised Bayesian Detection of Independent Motion in Crowds.Computer Vision and Pattern Recognition,2006,24(1): 67-75
[3]  Zhao Tao,Nevatia R,Wu Bo.Segmentation and Tracking of Multiple Humans in Crowded Environments.IEEE Trans on Pattern Analysis and Machine Intelligence,2008,30(7): 1198-1211
[4]  Albiol A,Silla M J,Albiol A,et al.Video Analysis Using Corner Motion Statistics // Proc of the IEEE International Workshop on Performance Evaluation of Tracking and Surveillance.New York,USA,2010: 323-329
[5]  Marana A N,Costa L D F,Lotofo R A,et al.Estimating Crowd Density with Minkowski Fractal Dimension // Proc of the IEEE International Conference on Acoustics,Speech,and Signal Processing.Phoenix,USA,1999: 3521-3524
[6]  Kong D,Gray D,Tao Hai.A Viewpoint Invariant Approach for Crowd Counting // Proc of the 18th International Conference on Pattern Recognition.Hong Kong,China,2006: 1187-1190
[7]  Rahmalan H,Nixon M S,Carter J N.On Crowd Density Estimation for Surveillance // Proc of the Institution of Engineering and Technology Conference on Crime and Security.London,UK,2006: 540-545
[8]  Cho S Y,Chow T W S,Leung C T.A Neural-Based Crowd Estimation by Hybrid Global Learning Algorithm.IEEE Trans on Systems,Man and Cybernetics,1999,29(4): 535-541
[9]  Conte D,Foggia P,Percannella G,et al.A Method for Counting Moving People in Video Surveillance Videos.EURASIP Journal on Advances in Signal Processing,2010,5(1): 1-8
[10]  Bay H,Tuytelaars T,van Gool L.Surf: Speeded up Robust Features // Proc of the 9th European Conference on Computer Vision.Graz,Austria,2006: 404-417
[11]  Liu Bo,Wei Mingxu,Zhou Heqin,A Zone-Distribution Based Adaptive Background Abstraction Algorithm.Pattern Recognition and Artificial Intelligence,2005,18(3): 316-321 (in Chinese)(刘 勃,魏铭旭,周荷琴.一种基于区间分布的自适应背景提取算法.模式识别与人工智能,2005,18(3): 316-321)
[12]  Elgammal A M,Harwood D,Davis L S.Non-Parametric Model for Background Subtraction // Proc of the 6th European Conference on Computer Vision.Dublin,Ireland,2000: 751-767
[13]  Dalal N.Finding People in Images and Videos.Ph.D Dissertation.Grenoble,France: The French National Institute for Research in Computer Science and Control,2006
[14]  Comaniciu D.Nonparametric Information Fusion for Motion Estimation.Computer Vision and Pattern Recognition,2003,16(3): 59-66
[15]  Cher D.ETISEO Video Understanding Evaluation[DB/OL].[2007-08-10].http://www-sop.inria.fr/orion/ETISEO/
[16]  Chang C C,Lin C J.LIBSVM: A Library for Support Vector Machines.ACM Trans on Intelligent Systems and Technology,2001,2(3): 78-86

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133