Opto-Electronic Engineering, Volume. 35, Issue 7, 12(2008)
Moving Object Location in Video Sequences Based on Subtractive Clustering Algorithm
[1] [1] Gian Luca Foresti.Object Recognition and Tracking for Remote Video Surveillance[J].IEEE Transactions on Circuits and Systems for Video Technology,1999,9(7):1045-1062
[2] [2] Fatih Porikli.Real-Time Video Object Segmentation for MPEG Encoded Video Sequences[J].SPIE Conference on Real-Time Imagining VIII,2004,5297:195-203
[3] [3] Changick Kim.Fast and Automatic Video Object Segmentation and Tracking for Content-Based Applications[J].IEEE Transactions on Circuits and Systems for Video Technology,2002,12(2):122-129
[4] [4] Jacinto C Nascimento.Performance Evaluation of Object Detection Algorithms for Video Surveillance[J].IEEE Transactions on Multimedia,2006,8(4):761-774
[5] [5] Chiu S L.Fuzzy model identification based on cluster estimation[J].Intelligent Fuzzy Systems,1994,2:267-278
[6] [6] Tao Yang,Stan Z Li,Quan Pan,et al.Real-Time and Accurate Segmentation of Moving Objects in Dynamic Scene[C]// International Multimedia Conference Proceedings of the ACM 2nd international workshop on Video surveillance & sensor networks.New York,NY,USA:ACM,2004:136-143
[7] [7] Otsu N.A threshold selection method from gray-level histograms[J].IEEE Transactions on System Man and Cybemetic,1979,9(1):62-66
[8] [8] Grinias I,Tziritas G.A semi-automatic seeded region growing algorithm for video object localization and tracking[J].Signal Processing:Image Communication,2001,16(10):977-986
Get Citation
Copy Citation Text
SUN Zhi-hai, KONG Wan-zeng, ZHU Shan-an. Moving Object Location in Video Sequences Based on Subtractive Clustering Algorithm[J]. Opto-Electronic Engineering, 2008, 35(7): 12
Category:
Received: Sep. 26, 2007
Accepted: --
Published Online: Mar. 1, 2010
The Author Email: Zhi-hai SUN (eeszh@163.com)
CSTR:32186.14.