An Improved GMM based Video Foreground Separation

被引：0

作者：

Zhang, Caixia ^{[1
]}

Xu, Qingyang ^{[2
]}

机构：

[1] Weihai Vocat Coll, New Sci Tech Pk, Weihai 264210, Peoples R China

[2] Shandong Univ, Sch Mech Elect & Informat Engn, Weihai 264209, Peoples R China

来源：

PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019) | 2019年

关键词：

Surveillance video; Object detection; GMM; Mixed Gaussian model; Local image flow; GAUSSIAN MIXTURE MODEL;

D O I：

10.1109/ccdc.2019.8832566

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Surveillance video analysis has applied to kinds of areas. Mixed GMM is a traditional target separation method. In order to overcome the object detection performance under dynamic scene, an improved algorithm is adopted to improve the mixed Gaussian model algorithm. A different initialization and model parameter updating strategy are adopted to detect the object under dynamic scene. The experiments validate the effectiveness of the algorithm at the lakeside and geyser.

引用

页码：1371 / 1374

页数：4

共 50 条

[1] TRANSFORMED DOMAIN GMM FOREGROUND SEGMENTATION FOR MOBILE VIDEO CAMERA
Hishinuma, Yuki
Suzuki, Tomoyuki
Nakagami, Kazuki
Nishitani, Takao
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, 2010, : 2217 - 2220
[2] Improved Truncated Nuclear Norm and Its Application in Video Foreground-background Separation
Yang, Yongpeng
Yang, Zhenzhen
Li, Jianlin
Fan, Lu
Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences, 2021, 53 (05): : 219 - 226
[3] Video Tracking Algorithm Based on the Improved Particle Filter of Robustness Foreground Feature
Yang, Guang
Zhao, Yanpeng
BASIC & CLINICAL PHARMACOLOGY & TOXICOLOGY, 2020, 126 : 213 - 214
[4] Object based video with progressive foreground
Monro, DM
Li, HJ
Nicholls, JA
INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL III, 1997, : 448 - 451
[5] GMM FOREGROUND SEGMENTATION PROCESSOR BASED ON ADDRESS FREE PIXEL STREAMS
Yagi, Ryo
Kajimoto, Tomohito
Nishitani, Takao
2012 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2012, : 1653 - 1656
[6] GMM-BASED EFFICIENT FOREGROUND DETECTION WITH ADAPTIVE REGION UPDATE
Li, Hao
Achim, Alin
Bull, David R.
2009 16TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-6, 2009, : 3181 - 3184
[7] Video Flame Detection Algorithm Based on Improved GMM and Multi-Feature Fusion
Zhang Chi
Meng Qinghao
Jing Tao
LASER & OPTOELECTRONICS PROGRESS, 2021, 58 (04)
[8] Compressed Video Background/Foreground Recovery and Separation Based on PTV-TV Tensor Modeling
Han L.
Wei W.
Gao L.
Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2019, 47 (02): : 59 - 67
[9] Video Foreground Cosegmentation Based on Common Fate
Guo, Jiaming
Cheong, Loong-Fah
Tan, Robby
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2018, 28 (03) : 586 - 600
[10] Incremental Gradient on the Grassmannian for Online Foreground and Background Separation in Subsampled Video
He, Jun
Balzano, Laura
Szlam, Arthur
2012 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2012, : 1568 - 1575

← 1 2 3 4 5 →