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Call for Papers:Vol.11 Issue.3

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Title: :  New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Using Hadoop
PaperId: :  2274
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-2274
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Mohan ShindeSKN Sinhgad Institute of Technology And Science, Lonavala,Pune
ShashankSupeSKN Sinhgad Institute of Technology And Science, Lonavala,Pune
Sushant ShelarSKN Sinhgad Institute of Technology And Science, Lonavala,Pune
Mayur ShindeSKN Sinhgad Institute of Technology And Science, Lonavala,Pune

Abstract

Data Mining
Video analytics, detection, tracking, recognition, Bayesian Kalman Filter
Object detection and tracking are two fundamental tasks in multicamera surveillance. The most important technique of this multicamera related technique is to track and analyze objects within the images. The core technology of multicamera analysis is used in detecting, analyzing, and tracking the object’s motion. In addition, when the light’s color or direction changes, it is difficult to trace the object.Firstly use the block based algorithm for detecting the change scene in video if the scene is change is detected then video is stored on the server for further analysis. Once the video was stored on the server. Stored videos are dived in to chunks and send to different nodes for analysis using map reduce technology of Hadoop. for detecting object, we apply algorithms like SSIM index, Histogram matching Using Hadoop we minimize the analysis time Finally draw the graphs in which show the no of objects to be detected and time to be required for analysisand stored analysis result into database for security purpose.

Citations

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IJARIIE Mohan Shinde, ShashankSupe, Sushant Shelar, and Mayur Shinde. "New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Using Hadoop" International Journal Of Advance Research And Innovative Ideas In Education Volume 2 Issue 3 2016 Page 2797-2802
MLA Mohan Shinde, ShashankSupe, Sushant Shelar, and Mayur Shinde. "New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Using Hadoop." International Journal Of Advance Research And Innovative Ideas In Education 2.3(2016) : 2797-2802.
APA Mohan Shinde, ShashankSupe, Sushant Shelar, & Mayur Shinde. (2016). New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Using Hadoop. International Journal Of Advance Research And Innovative Ideas In Education, 2(3), 2797-2802.
Chicago Mohan Shinde, ShashankSupe, Sushant Shelar, and Mayur Shinde. "New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Using Hadoop." International Journal Of Advance Research And Innovative Ideas In Education 2, no. 3 (2016) : 2797-2802.
Oxford Mohan Shinde, ShashankSupe, Sushant Shelar, and Mayur Shinde. 'New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Using Hadoop', International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, 2016, p. 2797-2802. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/New_Object_Detection__Tracking__and__Recognition_Approaches_for_Video__Surveillance_Using_Hadoop_ijariie2274.pdf (Accessed : 20 June 2016).
Harvard Mohan Shinde, ShashankSupe, Sushant Shelar, and Mayur Shinde. (2016) 'New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Using Hadoop', International Journal Of Advance Research And Innovative Ideas In Education, 2(3), pp. 2797-2802IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/New_Object_Detection__Tracking__and__Recognition_Approaches_for_Video__Surveillance_Using_Hadoop_ijariie2274.pdf (Accessed : 20 June 2016)
IEEE Mohan Shinde, ShashankSupe, Sushant Shelar, and Mayur Shinde, "New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Using Hadoop," International Journal Of Advance Research And Innovative Ideas In Education, vol. 2, no. 3, pp. 2797-2802, May-Jun 2016. [Online]. Available: https://ijariie.com/AdminUploadPdf/New_Object_Detection__Tracking__and__Recognition_Approaches_for_Video__Surveillance_Using_Hadoop_ijariie2274.pdf [Accessed : 20 June 2016].
Turabian Mohan Shinde, ShashankSupe, Sushant Shelar, and Mayur Shinde. "New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Using Hadoop." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 2 number 3 (20 June 2016).
Vancouver Mohan Shinde, ShashankSupe, Sushant Shelar, and Mayur Shinde. New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Using Hadoop. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2016 [Cited : 20 June 2016]; 2(3) : 2797-2802. Available from: https://ijariie.com/AdminUploadPdf/New_Object_Detection__Tracking__and__Recognition_Approaches_for_Video__Surveillance_Using_Hadoop_ijariie2274.pdf
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