COMPARATIVE ANALYSIS OF GMM AND SVM FOR MULTI-PERSON DETECTION
Abstract & Details
Research Area
Computer Engineering
Keywords
Background subtraction
GMM(Gaussian mixture model)
moving and non moving object detection
SVM(support vector machine).
Abstract
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.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Mrs.Khushali Sheth | Kalol Institute Of Technology & Research Center |
| 2 | Asst.Prof.Chita Jani | Kalol Institute Of Technology & Research Center |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Sheth, Mrs.Khushali & Jani, Asst.Prof.Chita (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.
MLA Style
Sheth, Mrs.Khushali, 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, pp. 400-408.
IEEE Style
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, 2016.
Vancouver Style
Sheth Mrs.Khushali, Jani Asst.Prof.Chita. COMPARATIVE ANALYSIS OF GMM AND SVM FOR MULTI-PERSON DETECTION. International Journal of Advance Research and Innovative Ideas In Education. 2016;2(3):400-408.
Harvard Style
Sheth, Mrs.Khushali & Jani, Asst.Prof.Chita (2016) 'COMPARATIVE ANALYSIS OF GMM AND SVM FOR MULTI-PERSON DETECTION', International Journal of Advance Research and Innovative Ideas In Education, 2(3), pp. 400-408.
Chicago Style
Sheth, Mrs.Khushali 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.
Turabian Style
Sheth, Mrs.Khushali 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.
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