Multiple Object Tracking using Support Vector Machine

Multiple Object Tracking using Support Vector Machine

G Ramya

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Mrs Srilatha

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Jawaharlal Nehru Technological University, Hyderabad

Multiple Object Tracking using Support Vector Machine

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Abstract

This paper presents an accurate and flexible method for robust recognition and tracking of multiple objects in video sequence. Object tracking is the process of separating the moving object from the video sequences. Tracking is essentially a matching problem in object tracking. In order to avoid this matching problem, object recognition is done on the tracked object. Background separation algorithm separate moving object from the background based on white and black pixels. Support Vector Machines classifier is used to recognize the tracked object. SVM classifier are supervised learning that associates with machine learning algorithm that analyse and recognize the data used for classification. SVM uses Kalman filter which makes the system more robust by tracking and reduce the noise introduced by inaccurate detections.

References

13 Cites in Article

Reference Format

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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

G Ramya. 2015. \u201cMultiple Object Tracking using Support Vector Machine\u201d. Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 14 (GJRE Volume 14 Issue J6).

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GJRE Volume 14 Issue J6

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

background subtraction fuzzy kalman filter object tracking SVM

Submission ReceivedDecember 10, 2013
Peer Review Double Blind
Handling Editor
Accepted December 31, 2013
Published January 15, 2014

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v1.2

Issue date

January 6, 2015

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Article Matrices

Total Score: 102

Country: India

Subject: Global Journal of Research in Engineering - J: General Engineering

Authors: G Ramya, Mrs Srilatha (PhD/Dr. count: 0)

View Count (all-time): 223

Total Views (Real + Logic): 4561

Total Downloads (simulated): 2359

Publish Date: 2015 01, Tue

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Total Views: 4561

Total Downloads: 2359

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