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Title: :  Multifeature Based Visual Tracking for Surveillance
PaperId: :  3729
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 1 2017
DUI:    16.0415/IJARIIE-3729
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
P.KiruthikaSelvamm College of Arts and Science
R.KalaiprasathBharath University

Abstract

Computer Engineering
Sparse representation, Kernel sparse representation, Particle swarm optimization, Multifeature fusion, Particle filter framework.
This project attempts a robust vehicle tracking technique considering all the problems that would otherwise disturb the vehicle tracking. Like the variation in the pose of the vehicle, change in illumination in the video, occlusion as of any material coming in between the line of focus and the camera. There were various methods that were proposed in the literature before but sparse representation has been a more superior method. In this paper we build up an algorithm to optimize the weight updation involved in multi-kernel fusion on visual tracking system. This makes this algorithm to be adaptive and optimized. Particle Swarm Optimization (PSO) algorithm is introduced in order populate the weight value and update it in every iteration in order to attain the objective function which will provide us the sparsest realization of the feature from the frame. The previous work had put light on the multi-kernel fusion alone but we improve that to be a multi-objective optimization using Particle Swarm Optimization algorithm. The thought generated must be tested with the software tools like Mat lab to validate the efficiency.

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IJARIIE P.Kiruthika, and R.Kalaiprasath. "Multifeature Based Visual Tracking for Surveillance" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 1 2017 Page 639-646
MLA P.Kiruthika, and R.Kalaiprasath. "Multifeature Based Visual Tracking for Surveillance." International Journal Of Advance Research And Innovative Ideas In Education 3.1(2017) : 639-646.
APA P.Kiruthika, & R.Kalaiprasath. (2017). Multifeature Based Visual Tracking for Surveillance. International Journal Of Advance Research And Innovative Ideas In Education, 3(1), 639-646.
Chicago P.Kiruthika, and R.Kalaiprasath. "Multifeature Based Visual Tracking for Surveillance." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 1 (2017) : 639-646.
Oxford P.Kiruthika, and R.Kalaiprasath. 'Multifeature Based Visual Tracking for Surveillance', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 1, 2017, p. 639-646. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Multifeature_Based_Visual_Tracking_for_Surveillance_ijariie3729.pdf (Accessed : ).
Harvard P.Kiruthika, and R.Kalaiprasath. (2017) 'Multifeature Based Visual Tracking for Surveillance', International Journal Of Advance Research And Innovative Ideas In Education, 3(1), pp. 639-646IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Multifeature_Based_Visual_Tracking_for_Surveillance_ijariie3729.pdf (Accessed : )
IEEE P.Kiruthika, and R.Kalaiprasath, "Multifeature Based Visual Tracking for Surveillance," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 1, pp. 639-646, Jan-Feb 2017. [Online]. Available: https://ijariie.com/AdminUploadPdf/Multifeature_Based_Visual_Tracking_for_Surveillance_ijariie3729.pdf [Accessed : ].
Turabian P.Kiruthika, and R.Kalaiprasath. "Multifeature Based Visual Tracking for Surveillance." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 1 ().
Vancouver P.Kiruthika, and R.Kalaiprasath. Multifeature Based Visual Tracking for Surveillance. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(1) : 639-646. Available from: https://ijariie.com/AdminUploadPdf/Multifeature_Based_Visual_Tracking_for_Surveillance_ijariie3729.pdf
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