Survey on AIAOD: Advanced Intelligent Abandoned Object Detection
Keywords:
Abandoned Object Detection, Surveillance Systems, Fuzzy Logic, Temporal Logic, Consistency ModelAbstract
Object detection and tracking is a very challenging task in image processing. This paper discusses about various object detection and tracking methods for crowded area such as airports, railway stations, shopping malls, residential apartment . Three major steps in video surveillance analysis are detection of moving objects, track those objects from frame to frame and recognise behaviours of those track objects to find out for suspicious activity detection. This paper mainly highlights the various object detection, object representation and object tracking techniques which are performed by different researchers in the past. This survey focused on different object detection using - background subtraction, fuzzy logic, temporal logic, hadoop, via temporal consistency modelling, nonflat static objects detection, abandoned detection of object in real time environments, detection of object on the basis of 3-dimensional image information. The usage of object tracking is for public safety, for efficient traffic management on roads , to fight against crime and terrorism.
References
Fahian Shahriar Mahin1, Md. Nazmul Islam1, Gerald Schaefer2, and Md. Atiqur Rahman Ahad1, "A Simple Approach for Abandoned Object Detection", Int'l Conf. IP, Comp. Vision, and Pattern Recognition | IPCV'15 | 427
A. Singh, S. Sawan, M. Hanmandlu, V.K. Madasu, B.C. Lovell, " An abandoned object detection system based on dual background segmentation",2009 Advanced Video and Signal Based Surveillance,78-0-7695-3718-4/09 $25.00 © 2009 IEEE DOI 10.1109/AVSS.2009.74
"An Efficient Approach for Real Time Tracking of Intruder and Abandoned Object in Video Surveillance System", International Journal of Computer Applications (0975 – 8887) Volume 54– No.17, September 2012
"An Abandoned object Detection System using Background Segmentation", International Journal of Engineering Research & Technology (IJERT),Vol. 3 Issue 1, January - 2014
Ansuman Mahapatra, Tusar Kanti Mishra, Pankaj K Sa, and Banshidhar Majhi, "Background Subtraction and Human Detection in Outdoor Videos using Fuzzy Logic", conference paper in ieee international conference on fuzzy systems · January 2013
Hui Kong, Member, IEEE, Jean-Yves Audibert ,and Jean Ponce , Fellow, IEEE "Detecting Abandoned Objects with a Moving Camera" TIP-05187-2009, accepted 2009, accepted
Pallavi S. Bangare, Nilesh J. Uke,"Implementation of Abandoned Object Detection in Real Time Environment", International Journal of Computer Applications (0975 – 8887) Volume 57– No.12, November 2012
YingLi Tian, Senior Member, IEEE, Rogerio Schmidt Feris, Member, IEEE, Haowei Liu, Student Member, IEEE, Arun Hampapur, Senior Member, IEEE, and Ming-Ting Sun, Fellow, Ieee,"Robust Detection of Abandoned and Removed Objects in Complex Surveillance Videos", ieee Transactions On Systems, Man, And Cybernetics—Part C: Applications And Reviews, Vol. 41, No. 5, September 2011
Yiliang Zeng 1, Jinhui Lan 1,*, Bin Ran 2, Jing Gao 1 and Jinlin Zou, "A Novel Abandoned Object Detection System Based on Three-Dimensional Image Information", Sensors 2015, 15
Tejas Naren TN1, Shankar SiddharthKA2 , Venkat Krishnan S3,Sanjeevi LR4, "Abandoned Object Detection for Automated video Surveillance using Hadoop" , International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering.An ISO 3297: 2007 Certified Organization Vol. 3, Special Issue 3, April 2014
Medha Bhargava · Chia-Chih Chen · M. S. Ryoo ·J. K. Aggarwal,"Detection of object abandonment using temporal logic", Received: 24 January 2008 / Revised: 22 September 2008 / Accepted: 18 November 2008 / Published online: 15 January 2009
Kevin Lin, Shen-Chi Chen, Chu-Song Chen, Daw-Tung Lin, Senior Member, IEEE, and Yi-Ping Hung "Abandoned Object Detection via Temporal Consistency Modeling and Back-Tracing Verification for Visual Surveillance", IEEE Transactions On Information Forensics And Security, Vol. 10, No. 7, July 2015 1359
Thi Thi Zin, Member, IEEE, Pyke Tin, Hiromitsu Hama, Member, IEEE,and Takashi Toriu, Member, IEEE, "Unattended Object Intelligent Analyzer for Consumer Video Surveillance", IEEE Transactions on Consumer Electronics, Vol. 57, No. 2, May 2011
Sivabalakrishnan.M, Dr.D.Manjula," Adaptive Background subtraction in Dynamic Environments Using Fuzzy Logic", Sivabalakrishnan.M. et al. / (IJCSE) International Journal on Computer Science and Engineering Vol. 02, No. 02, 2010, 270-273
Shuai Zhang, Member, IEEE, Chong Wang, Member, IEEE, Shing-Chow Chan, Member, IEEE, Xiguang Wei, and Check-Hei Ho," New Object Detection, Tracking, and Recognition Approaches for Video Surveillance Over Camera Network", IEEE SENSORS JOURNAL, VOL. 15, NO. 5, MAY 2015 2679
Himani S. Parekh1, Darshak G. Thakore 2, Udesang K. Jaliya 3," A Survey on Object Detection and Tracking Methods", Vol. 2, Issue 2, February 2014 Copyright to IJIRCCE.
Sanjivani Shantaiya, Kesari Verma, Kamal Mehta," Study and Analysis of Methods of ObjectDetection in Video, (IJSCE) ISSN: 2231-2307, Volume-2, Issue-6, January 2013
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