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The Scientific World Journal
Volume 2015, Article ID 907469, 10 pages
http://dx.doi.org/10.1155/2015/907469
Research Article

Moving Object Detection for Video Surveillance

1Department of Electronics and Communication Engineering, SVS College of Engineering, Coimbatore 642 109, India
2Department of Electronics and Communication Engineering, Hindustan College of Engineering & Technology, Coimbatore 641 032, India

Received 30 December 2014; Accepted 20 February 2015

Academic Editor: Guanghui Wang

Copyright © 2015 K. Kalirajan and M. Sudha. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Xuan Qi, Chen Liu, Xuan Qi, and Chen Liu, “GPU-Accelerated Key Frame Analysis for Face Detection in Video,” 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom), pp. 600–605, . View at Publisher · View at Google Scholar
  • Xuan Qi, Chen Liu, and Stephanie Schuckers, “Key-Frame Analysis for Face Related Video on GPU-Accelerated Embedded Platform,” 2016 International Conference on Computational Science and Computational Intelligence (CSCI), pp. 682–687, . View at Publisher · View at Google Scholar
  • P. A. Dhulekar, S.T. Gandhe, Anjali Shewale, Sayali Sonawane, and Varsha Yelmame, “Motion estimation for human activity surveillance,” 2017 International Conference on Emerging Trends & Innovation in ICT (ICEI), pp. 82–85, . View at Publisher · View at Google Scholar
  • Kalirajan Kaliraj, and Sudha Manimaran, “Robust skin color-based moving object detection for video surveillance,” Journal of Electronic Imaging, vol. 25, no. 4, 2016. View at Publisher · View at Google Scholar
  • Shanu Sharma, and Sumati Manchanda, “Extraction and enhancement of moving objects in a video,” Advances in Intelligent Systems and Computing, vol. 553, pp. 763–771, 2017. View at Publisher · View at Google Scholar
  • Neethidevan Veerapathiran, and Anand S., “Reducing False Alarms in Vision-Based Fire Detection,” Applied Video Processing in Surveillance and Monitoring Systems, pp. 263–290, 2017. View at Publisher · View at Google Scholar
  • Egídio Ieno, Luis Manuel Garcés Socarrás, and Tales Cleber Pimenta, “Decision-making system for detection of moving vehicles using a field programmable gate array combining conventional techniques of digital image processing with a fuzzy integral,” Journal of Electronic Imaging, vol. 27, no. 04, pp. 1, 2018. View at Publisher · View at Google Scholar