International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020


IJSTR >> Volume 4 - Issue 7, July 2015 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Object Recognition In HADOOP Using HIPI

[Full Text]



Ankit Kumar Agrawal, Prof. Sivagami M.



Keywords: Foreground Segmentation, Backgr-ound Subtraction, Object Extraction



Abstract: The amount of images and videos being shared by the user is exponentially increasing but applications that perform video analytics is severely lacking or work on limited set of data. It is also challenging to perform analytics with less time complexity. Object recognition is the primary step in video analytics. We implement a robust method to extract objects from the data which is in unstructured format and cannot be processed directly by relational databases. In this study, we present our report with results after performance evaluation and compare them with results of MATLAB.



[1] Dawei Li, Lihong Xu, Erik D. Goodman, “Illumination-Robust Foreground Detection in a Video Surveillance System”, IEEE Trans. Pattern, vol. 23, no. 10, pp. October 2013.

[2] Shih-Wei Sun, Yu-Chiang Frank Wang, Fay Huang, Hong-Yuan Mark Liao, “Moving Foreground Object Detection Via Robust SIFT Trajectories”, J. Vis. Commun. Image R. 24, pp. 232-243 December 2012.

[3] Kyungnam Kim, Thanarat H. Chalidabhongse, David Harwood, Larry Davis, “Real-time Foreground-Background Segmentation Using Codebook Model”, Elsevier, pp. 2004.

[4] Hansung Kim, Ryuuki Sakamoto, Itaru Kitahara, Tomoji Toriyama and Kiyoshi Kogure, “Robust Foreground Extraction Technique Using Gaussian Family Model and Multiple Thresholds”, ACCV 2007, pp. 758-768, 2007.

[5] Chris Stauffer, W.E.L. Grimson, “Adaptive Background Mixture Models For Real-time Tracking”, MIT Cambridge.

[6] Hadoop image processing interface website: hipi.cs.virginia.edu/

[7] Chris Sweeney, Liu Liu, Sean Arietta, Jason Lawrence, “HIPI: A Hadoop Image Processing Interface for Image-based MapReduce Tasks”, University of Virginia.

[8] Aruna U Gawde, Miraj Shah, Imaad Ukaye, Mihir Nanavati, “Object Detection Using Hadoop”, Ijaret, Vol. 1, Issue XI, ISSN 2320-6802, pp. Dec 2013.