Research Journal of Applied Sciences

Year: 2019
Volume: 14
Issue: 1
Page No. 7 - 15

An Efficient Object Detection and Tracking System Based on Immune Genetic Algorithm

Authors : Madhavi Gajula and A. Jhansi Rani

References

Aliabadian, A., E. Akbarpour and M. Yosefi, 2012. Kernel based approach toward automatic object detection and tracking in surveillance systems. Intl. J. Soft Comput. Eng., 2: 82-87.

Chih-Hsien, H. and C. Jen-Shiun, 2012. Real-time multiple moving objects detection and tracking with direct LL-Mask band scheme. Intl. J. Innovative Comput. Inf. Control, 8: 4451-4468.
Direct Link  |  

Cohen, I. and G. Medioni, 1999. Detecting and tracking moving objects for video surveillance. Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, Volume 2, June 23-25, 1999, Fort Collins, pp: 319-325.

Cucchiara, R., C. Grana, M. Piccardi and A. Prati, 2003. Detecting moving objects, ghosts and shadows in video streams. IEEE Trans. Pattern Anal. Mach. Intell., 25: 1337-1342.
CrossRef  |  Direct Link  |  

Huang, K., L. Wang, T. Tan and S. Maybank, 2008. A real-time object detecting and tracking system for outdoor night surveillance. Pattern Recognit., 41: 432-444.
CrossRef  |  Direct Link  |  

Ianasi, C., V. Gui, C.I. Toma and D. Pescaru, 2005. A fast algorithm for background tracking in video surveillance, using nonparametric kernel density estimation. Facta Universitatis Ser. Electron. Energetics, 18: 127-144.
Direct Link  |  

Joshi, K.A. and D.G. Thakore, 2012. A survey on moving object detection and tracking in video surveillance system. Intl. J. Soft Comput. Eng., 2: 44-48.
Direct Link  |  

Kamath, C., A. Gezahegne, S. Newsam and G.M. Roberts, 2005. Salient points for tracking moving objects in video. Proceedings of the Conference on Image and Video Communications and Processing (SPIE 5685), March 14, 2005, SPIE, San Jose, California, USA., pp: 442-454.

Khashman, A., 2008. Automatic detection, extraction and recognition of moving objects. Intl. J. Syst. Appl. Eng. Dev., 2: 43-51.
Direct Link  |  

Lin, Y., Q. Yu and G. Medioni, 2011. Efficient detection and tracking of moving objects in geo-coordinates. Mach. Vision Appl., 22: 505-520.
CrossRef  |  Direct Link  |  

Manohar, V., P. Soundararajan, H. Raju, D. Goldgof and R. Kasturi et al., 2006. Performance evaluation of object detection and tracking in video. Proceedings of the Asian Conference on Computer Vision, January 13-16, 2006, Springer, Berlin, Germany, ISBN:978-3-540-31244-4, pp: 151-161.

Pande, R.P., N.D. Mishra, S. Gulhane and A. Joshi, 2012. Detection of moving object with the help of motion detection alarm system in video survelliance. J. Signal Image Process., 3: 118-121.
Direct Link  |  

Patel, N., 2012. Motion detection based on multi frame video under surveillance system. Intl. J. Emerging Technol. Adv. Eng., 2: 124-129.
Direct Link  |  

Ritika and G.S. Sekhon, 2012. Path estimation and motion detection of moving object in videos. IOSR. J. Comput. Eng., 2: 1-4.
CrossRef  |  Direct Link  |  

Sahithi and V. Mutyalu, 2012. Remote based intelligent video surveillance system. Intl. J. Comput. Trends Technol., 3: 527-530.
Direct Link  |  

Sharma, G., 2012. Video surveillance system: A review. Intl. J. Res. Eng. Appl. Sci., 2: 75-85.

Vishnyakov, B., Y. Vizilter and V. Knyaz, 2012. Spectrum-based object detection and tracking technique for digital video surveillance. Proceedings XXII ISPRS Congress on Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol. 39, August 5- September 01, 2012, ISPRS, Melbourne, Australia, pp: 579-583.

Yokoyama, M. and T. Poggio, 2005. A contour-based moving object detection and tracking. Proceedings of the 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, October 15-16, 2005, IEEE, Beijing, China, ISBN:0-7803-9424-0, pp: 271-276.

Youssef, S.M., M.A. Hamza and A.F. Fayed, 2010. Detection and tracking of multiple moving objects with occlusion in smart video surveillance systems. Proceedings of the 2010 5th IEEE International Conference on Intelligent Systems, July 7-9, 2010, IEEE, London, UK., ISBN:978-1-4244-5163-0, pp: 120-125.

Zhang, J., S. Xu, K. Huang and T. Luo, 2012. Accurate moving target detection based on background subtraction and Susan. Intl. J. Comput. Electr. Eng., 4: 436-439.
CrossRef  |  Direct Link  |  

Zin, T.T., P. Tin, T. Toriu and H. Hama, 2012. A probability-based model for detecting abandoned objects in video surveillance systems. Proceedings of the World Congress on Engineering Vol. 2, July 4-6, 2012, WCE, London, UK., ISBN:978-988-19252-1-3, pp: 1-6.

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