Tracking video objects in cluttered background

IEEE Transactions on Circuits and Systems for Video Technology ◽

10.1109/tcsvt.2005.844447 ◽

2005 ◽

Vol 15 (4) ◽

pp. 575-584 ◽

Author(s):

A. Cavallaro ◽

O. Steiger ◽

T. Ebrahimi

Keyword(s):

Video Objects ◽

Cluttered Background

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A uniformly most powerful detector of gas plumes against a cluttered background

Remote Sensing of Environment ◽

10.1016/j.rse.2021.112443 ◽

2021 ◽

Vol 260 ◽

pp. 112443

Author(s):

Alan Schaum

Keyword(s):

Cluttered Background ◽

Uniformly Most Powerful

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Unsupervised Segmentation of Stereoscopic Video Objects: Constrained Segmentation Fusion Versus Greedy Active Contours

Journal of Signal Processing Systems ◽

10.1007/s11265-014-0921-0 ◽

2014 ◽

Vol 81 (2) ◽

pp. 153-181 ◽

Author(s):

Klimis S. Ntalianis ◽

Anastasios D. Doulamis ◽

Nikolaos D. Doulamis ◽

Nikos E. Mastorakis ◽

Athanasios S. Drigas

Keyword(s):

Active Contours ◽

Stereoscopic Video ◽

Unsupervised Segmentation ◽

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Video Objects Extraction Based on DFD Between the Frames and Threshold Segmentation

2008 International Conference on Embedded Software and Systems Symposia ◽

10.1109/icess.symposia.2008.7 ◽

2008 ◽

Author(s):

Jinwei Cui ◽

Bing Wang

Keyword(s):

Threshold Segmentation ◽

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Finding spatio-temporal salient paths for video objects discovery

Journal of Visual Communication and Image Representation ◽

10.1016/j.jvcir.2016.02.001 ◽

2016 ◽

Vol 38 ◽

pp. 45-54 ◽

Author(s):

Ye Luo ◽

Junsong Yuan ◽

Jianwei Lu

Keyword(s):

Video Objects ◽

Spatio Temporal

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Feature-based detection and correction of occlusions and split of video objects

Signal Image and Video Processing ◽

10.1007/s11760-008-0055-6 ◽

2008 ◽

Vol 3 (1) ◽

pp. 13-25 ◽

Author(s):

Carlos Vázquez ◽

Mohammed Ghazal ◽

Aishy Amer

Keyword(s):

Video Objects ◽

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A storage strategy considering characteristics of video objects on Video-On-Demand storage servers

Proceedings Fourth International Conference/Exhibition on High Performance Computing in the Asia-Pacific Region ◽

10.1109/hpc.2000.846512 ◽

2000 ◽

Author(s):

You-Jung Ahn ◽

Yoo-Hun Won

Keyword(s):

Video On Demand ◽

On Demand ◽

Storage Servers ◽

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Gaussian Mixture Models and Split-Merge Algorithm for parameter analysis of tracked video objects

2009 35th Annual Conference of IEEE Industrial Electronics ◽

10.1109/iecon.2009.5415088 ◽

2009 ◽

Author(s):

GuoQing Yin ◽

Dietmar Bruckner

Keyword(s):

Mixture Models ◽

Gaussian Mixture Models ◽

Gaussian Mixture ◽

Parameter Analysis ◽

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Region tracking for non-rigid video objects in a non-parametric MAP framework

Signal Processing Image Communication ◽

10.1016/j.image.2005.10.002 ◽

2006 ◽

Vol 21 (3) ◽

pp. 235-251

Author(s):

Chiou-Ting Hsu ◽

Ming-Shen Hsieh

Keyword(s):

Video Objects ◽

Region Tracking ◽

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A Hierarchical Learning Approach for Finding Multiple Vehicle Number Plate Under Cluttered Background

Lecture Notes in Computer Science - Multi-disciplinary Trends in Artificial Intelligence ◽

10.1007/978-3-319-49397-8_8 ◽

2016 ◽

pp. 87-98

Author(s):

Kirti ◽

C. Raghavendra Rao ◽

Rajeev Wankar ◽

Arun Agarwal

Keyword(s):

Learning Approach ◽

Hierarchical Learning ◽

Cluttered Background

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A Novel SVM-Based Method for Moving Video Objects Recognition

Lecture Notes in Computer Science - Advances in Visual Information Systems ◽

10.1007/978-3-540-76414-4_14 ◽

2007 ◽

pp. 136-145

Author(s):

Xiaodong Kong ◽

Qingshan Luo ◽

Guihua Zeng

Keyword(s):

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