Moving Object Tracking using Color Feature in a Video

Moving Object Tracking using Color Feature in a Video

K.Srinivasan

Contact

Dr. P.Balamurugan

Contact

Anna University, Chennai

Moving Object Tracking using Color Feature in a Video

Article Fingerprint

ReserarchID

CSTGV4GX0C

Moving Object Tracking using Color Feature in a Video Banner

AI TAKEAWAY

Connecting with the Eternal Ground

Abstract

Video processing is one of the most challenging areas in image processing. It deals with identifying an object of interest. Motion detection has been used in many fields either directly or indirectly. In this paper an efficient approach to motion detection in video sequence using color feature extraction operator. Using this approach we improve the background subtraction and detecting the moving object with greater accuracy. In this paper, background modeling is done in order to make the update of background due to light illumination and change in the weather condition. Foreground detection is done before updating the background model. Color feature extraction is done in order to avoid the dynamic background such as moving leaves, rain, snow, rippling water.

References

14 Cites in Article

Reference Format

K Kim (2005). Real-time foregroundbackground segmentation using codebook model.
R Jain,H-H Nagel (1977). Analyzing a real world scene sequence using fuzziness.
M Greiffenhagen,V Ramesh,H Nieman (2001). The systematic design and analysis of a vision system: A case study in video surveillance.
K Toyama,J Krumm,B Brumitt,M Meyers (1999). Wallflower: Principles and practice of background maintenance.
James Davis,Vinay Sharma (2007). Background-Subtraction in Thermal Imagery Using Contour Saliency.
C Jung (2009). Efficient Background Subtraction and Shadow Removal for Monochromatic Video Sequences.
T Horprasert,D Harwood,L Davis (1999). A statistical approach for real time robust background subtraction and shadow detection.
Liyuan Li,M Leung (2002). Integrating intensity and texture differences for robust change detection.
M Heikkil¨a,M Pietik¨ainen (2006). A texture-based method for modeling the background and detecting moving objects.
M Heikkil¨a,M Pietik¨ainen,C Schmid (2009). Description of interest regions with local binary patterns.
M Heikkil¨a,M Pietik¨ainen,J Heikkil¨a (2004). A texture-based method for detecting moving objects.
Gengjian Xue,Jun Sun,Li Song (2010). Dynamic background subtraction based on spatial extended center-symmetric local binary pattern.
S Zhang,H Yao,S Liu (2008). Dynamic background modeling and subtraction using spatiotemporal local binary patterns.
Shih-Chia Huang (2011). An Advanced Motion Detection Algorithm with Video Quality Analysis for Video Surveillance Systems.

Download References

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

K.Srinivasan. 2015. \u201cMoving Object Tracking using Color Feature in a Video\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 15 (GJCST Volume 15 Issue F4): .

More Citation Formats

Select Citation Style:

Download Citation

Download Article

GJCST Volume 15 Issue F4
Pg. 9- 12

Explore Journals Explore Volume Read This Issue

Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

H.5.1

Submission ReceivedDecember 13, 2014
Peer Review Double Blind
Handling Editor
Accepted December 31, 2014
Published January 15, 2015

Version of record

v1.2

Issue date

December 29, 2015

Language

Experiance in AR

Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.

View in VR

Read in 3D

Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.

View in 3D

Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: K.Srinivasan, Dr. P.Balamurugan (PhD/Dr. count: 1)

View Count (all-time): 262

Total Views (Real + Logic): 7833

Total Downloads (simulated): 2021

Publish Date: 2015 12, Tue

Monthly Totals (Real + Logic):

Month 1: 31 views
Month 2: 50 views
Month 3: 66 views
Month 4: 37 views
Month 5: 70 views
Month 6: 42 views
Month 7: 36 views
Month 8: 21 views
Month 9: 25 views
Month 10: 18 views
Month 11: 41 views
Month 12: 38 views
Month 13: 33 views
Month 14: 44 views
Month 15: 19 views
Month 16: 34 views
Month 17: 26 views
Month 18: 12 views
Month 19: 15 views
Month 20: 41 views
Month 21: 12 views
Month 22: 24 views
Month 23: 24 views
Month 24: 32 views
Month 25: 23 views
Month 26: 29 views
Month 27: 40 views
Month 28: 31 views
Month 29: 45 views
Month 30: 42 views
Month 31: 13 views
Month 32: 31 views
Month 33: 39 views
Month 34: 41 views
Month 35: 16 views
Month 36: 42 views
Month 37: 22 views
Month 38: 30 views
Month 39: 41 views
Month 40: 31 views
Month 41: 32 views
Month 42: 39 views
Month 43: 43 views
Month 44: 19 views
Month 45: 24 views
Month 46: 31 views
Month 47: 38 views
Month 48: 37 views
Month 49: 25 views
Month 50: 29 views
Month 51: 36 views
Month 52: 39 views
Month 53: 41 views
Month 54: 30 views
Month 55: 36 views
Month 56: 18 views
Month 57: 40 views
Month 58: 42 views
Month 59: 28 views
Month 60: 36 views
Month 61: 35 views
Month 62: 17 views
Month 63: 34 views
Month 64: 16 views
Month 65: 23 views
Month 66: 26 views
Month 67: 32 views
Month 68: 43 views
Month 69: 13 views
Month 70: 38 views
Month 71: 19 views
Month 72: 26 views
Month 73: 12 views
Month 74: 36 views
Month 75: 37 views
Month 76: 26 views
Month 77: 28 views
Month 78: 40 views
Month 79: 49 views
Month 80: 33 views
Month 81: 20 views
Month 82: 31 views
Month 83: 24 views
Month 84: 26 views
Month 85: 26 views
Month 86: 29 views
Month 87: 39 views
Month 88: 33 views
Month 89: 25 views
Month 90: 29 views
Month 91: 40 views
Month 92: 10 views
Month 93: 27 views
Month 94: 30 views
Month 95: 34 views
Month 96: 33 views
Month 97: 41 views
Month 98: 31 views
Month 99: 39 views
Month 100: 35 views
Month 101: 40 views
Month 102: 35 views
Month 103: 16 views
Month 104: 19 views
Month 105: 30 views
Month 106: 40 views
Month 107: 42 views
Month 108: 46 views
Month 109: 22 views
Month 110: 14 views
Month 111: 35 views
Month 112: 41 views
Month 113: 14 views
Month 114: 33 views
Month 115: 36 views
Month 116: 37 views
Month 117: 48 views
Month 118: 53 views
Month 119: 28 views
Month 120: 38 views
Month 121: 20 views
Month 122: 25 views
Month 123: 87 views
Month 124: 52 views

Total Views: 7833

Total Downloads: 2021

2026 Trends

Published Article

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]