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Call for Papers:Vol.11 Issue.3

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Title: :  COMPARATIVE ANALYSIS OF GMM AND SVM FOR MULTI-PERSON DETECTION
PaperId: :  2030
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 2 Issue 3 2016
DUI:    16.0415/IJARIIE-2030
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mrs.Khushali Sheth Kalol Institute Of Technology & Research Center
Asst.Prof.Chita JaniKalol Institute Of Technology & Research Center

Abstract

Computer Engineering
Background subtraction, GMM(Gaussian mixture model) ,moving and non moving object detection, SVM(support vector machine).
Person detection in a video surveillance system is major concern in real world. several application likes congestion analysis, abnormal event detection, human gait characterization, fall detection, person identification, gender classification and for elderly people. In this algorithm ,We use GMM method for multi object detection because of Gaussian Mixture Model (GMM) model is one such popular method compare to another methods like non-parametric model, optical flow, spatio-temporal etc are not compatible to detect the object due to its quality & limited computational time.GMM are used for detection of moving object. Foreground reconstructed using SVM(support vector machine).SVM are used for detect both moving and non moving object.

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IJARIIE Mrs.Khushali Sheth, and Asst.Prof.Chita Jani. "COMPARATIVE ANALYSIS OF GMM AND SVM FOR MULTI-PERSON DETECTION" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 400-408
MLA Mrs.Khushali Sheth, and Asst.Prof.Chita Jani. "COMPARATIVE ANALYSIS OF GMM AND SVM FOR MULTI-PERSON DETECTION." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 400-408.
APA Mrs.Khushali Sheth, & Asst.Prof.Chita Jani. (2016). COMPARATIVE ANALYSIS OF GMM AND SVM FOR MULTI-PERSON DETECTION. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 400-408.
Chicago Mrs.Khushali Sheth, and Asst.Prof.Chita Jani. "COMPARATIVE ANALYSIS OF GMM AND SVM FOR MULTI-PERSON DETECTION." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 400-408.
Oxford Mrs.Khushali Sheth, and Asst.Prof.Chita Jani. 'COMPARATIVE ANALYSIS OF GMM AND SVM FOR MULTI-PERSON DETECTION', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 400-408. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/COMPARATIVE_ANALYSIS_OF_GMM_AND_SVM__FOR_MULTI_PERSON_DETECTION_ijariie2030.pdf (Accessed : ).
Harvard Mrs.Khushali Sheth, and Asst.Prof.Chita Jani. (2016) 'COMPARATIVE ANALYSIS OF GMM AND SVM FOR MULTI-PERSON DETECTION', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 400-408IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/COMPARATIVE_ANALYSIS_OF_GMM_AND_SVM__FOR_MULTI_PERSON_DETECTION_ijariie2030.pdf (Accessed : )
IEEE Mrs.Khushali Sheth, and Asst.Prof.Chita Jani, "COMPARATIVE ANALYSIS OF GMM AND SVM FOR MULTI-PERSON DETECTION," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 400-408, May-Jun 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/COMPARATIVE_ANALYSIS_OF_GMM_AND_SVM__FOR_MULTI_PERSON_DETECTION_ijariie2030.pdf [Accessed : ].
Turabian Mrs.Khushali Sheth, and Asst.Prof.Chita Jani. "COMPARATIVE ANALYSIS OF GMM AND SVM FOR MULTI-PERSON DETECTION." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 ().
Vancouver Mrs.Khushali Sheth, and Asst.Prof.Chita Jani. COMPARATIVE ANALYSIS OF GMM AND SVM FOR MULTI-PERSON DETECTION. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : ]; 2(3) : 400-408. Available from: https://ijariie.com/AdminUploadPdf/COMPARATIVE_ANALYSIS_OF_GMM_AND_SVM__FOR_MULTI_PERSON_DETECTION_ijariie2030.pdf
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