Yangın ve Güvenlik Dergisi 198. Sayı (Nisan 2018)

40 Yangın ve Güvenlik / Nisan 2018 yanginguvenlik.com.tr KAPAK KONUSU / MAKALE 4. SONUÇ Gözetleme videolarındak dikkat çeken hareketlerin tespi edilmesi karelerdin statik ve dinamik dikkat çeken hareket- ler haritalarının birleştirilmesi, daha sonra dinamik öğrenen video serisiyle dinamik olarak elde edilen yukarıdan aşağı bilgiyle optimize edilerek başarılmıştır. Sonuç dikkat çeken hareketler haritası, yukarıdan aşağı bilginin kullanılmasıyla da iyi sonuçlar vermiştir. Mekanizma anormal olayları tespit etmede güvenliği artırmak için daha da ileri kullanılabilir, bu şekilde gerekli önlem anında alınabilecektir. 5. KAYNAKLAR 1. R.Aarthi, J.Amudha, Ushapriya, A generic bio inspired framework for detecting Humans Based on saliency de- tection, Springer International conference on artificial Intelligence an evolutionary algorithms in engineering Systems-2014(ICAEES-2014), 22nd and 23rd april 2014, Kuamracoil, kanyakumari. ISBN 978-81-322-2134-0 [SCO- PUS] 2. Zhengzheng Tu, Aihua Zheng, Erfu Yang, Bin Luo, Amir Hussain, A Biologically Inspired Vision-Based Approach for Detecting Multiple Moving Objects in Complex Outdo- or Scenes, 30 January 2015, Cognitive Co putation. ISSN 1 66-9964. 3. Ming-Ming Cheng, Guo-Xin Zhang, Niloy J. Mitra, Xiaolei Huang, Shi-Min Hu, Global Contrast based Saliency Dete- ction. IEEE International Conference on Computer Vision and Pattern Recognition (IEEE VPR), 2011, p. 409-416. 4. Chaun Yang, Lihe Zhang, Huchuan Lu, Xiang Ruan, ing-Hsuan Yang, Saliency Detection via Graph based Ma- nifoldanking. Procee ings of IEEE Conference on Compu- ter Vision and Pattern Recognition ( CVPR 2013) , Port- land, June, 2013. 5. Satyadev Sarma, Shanth, IN ini Srinivas, R. Aarthi Visual Saliency for S rveillance Images- A Brief Study, Internatio- nal Journal of Software and Web Sciences (IJSWS),Mar- ch-may 2014 issue, vol.1(14-212),pages: 10-12,ISSN(ONLI- NE):2279-0071, ISSN(PRIN ):2279- 0063 6. R.Aarthi, J.Amudha, Saliency based modified chamfer matching method for sketch based i age retrieval, D DO Sponpored 2nd IEEE international conference on Innova- tions in information, embedded and co munication sys- tem(ICIIECS-2015 , On 19th and 20th march 2015, Coimba- tore. IEEE XPLORE : ISBN:978-1-4799-6818-3, DVD :ISBN :978-1-4799-6816-9[Submitted for SCOPUS indexing] 7. Simone Frintrop, VOCUS: A Visual Attention System for Object Detection and Goal-directed Search, in Proc of international conference on Intelligent System, January 9(2006). 8. Amudha J, Soman. K.P and Padmakar Reddy. S, A Know- le ge Driven Computational Visual Attention Model, IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 3, No. 1, May 2011. ISSN (Online): 1694-0814. 9. Laptev Ivan, Belongie. J. Serge, Perez Patrick, Wills Josh, Periodic motion detection and segmentation via approxi- mate sequence alignm nt. Computer Vision, 2005. ICCV 005. Tenth IEEE International Conference Vol. 1. 10. Laurent Itti, Christof Koch, Ernst Niebur, A model of Sa- liency based Visual attention for Rapid Scene Analysis, IEEE Transactions on Pattern Analysis and Machine Intel- ligence, VOL 20, NO 11, NOV 1998. 11. Longsheng Wei, Nong ang and Yuehuan Wang. A Spa- tio Temporal Saliency model on visual attention based on maximum entropy. International Society for Photogram- metry and Remote Sensi g, 2011. 12. Yao Shen, ParthasarathyGuturu, ThyagarajuDamarla, Bill P. Buckles, Senior and KameswaraRaoNamuduri, Video Stabilization Using Principal Component Analysis and Scale Invariant Feature Transform in Particle Filter Fra- mework, IEEE Transactions on Consumer Electronics, Vol. 55, No. 3, AUGUST 2009. 13. Muthuswamy Karthik, Rajan Deepu. Salient motion dete- cti n through state controlability, Proceedings of the IEEE Workshop on Motion and Video Computing,2005. 14. P. Felzenswalb and D. HuttenLocher, Efficient Graph ba- sed Image Segmentation, IJCV, 59 (2) : 167-181 , 2004. 15. Change Loy, C., Xiang, T. and Gong, S. (2012). Salientmo- tion detection in crowded scenes. Comunications Control and SignalProcessing, (ISCCSP), pp.1-4 ENERJİ VE ÇEVRE SEKTÖRÜ DERGİSİ Zenginleşen içeriği ve dağıtım gücüyle alanında lider dergimizde yer alarak mesajlarınızı hedef kitlenize ulaştırabilirsiniz. www.enerji-dunyasi.com facebook.com/Enerji-ve-Çevre-Dünyası-Dergisi-1268471029865988/ twitter.com/EnerjiDunyasi linkedin.com/groups/13541981