An Approach for Detecting Abandoned Object from Real Time Video

Research in abandoned object detection is a need now days due to increase in attack by terrorists or anti social elements at public places. The traditional way to observe the places or to track the places is the CCTV cameras. In the current research of detecting abandoned object, the results are not optimal and need more work in this area. This paper discusses the proposed system for detecting abandoned object from Real time video. This system consists of 8 modules as Module 1: Real time video feed, Module 2: Get frame from the video after fixed time interval, Module 3: Get Intensity image, Module 4: Gaussian blur to reducing noise and smoothing, Module 5: Background subtraction, Module 6: Blob detection, Module 7: Still object tracking, Module 8: Occlusion detection. [Finally detected abandoned object] Keyword -Abandoned object, CCTV, Foreground mask, Gaussian blur, Surveillance systems.

[1]  Gian Luca Foresti,et al.  Automatic detection and indexing of video-event shots for surveillance applications , 2002, IEEE Trans. Multim..

[2]  Yuri Ivanov,et al.  Robust Abandoned Object Detection Using Dual Foregrounds , 2008, EURASIP J. Adv. Signal Process..

[3]  Z. Pylyshyn,et al.  Multiple object tracking and attentional processing. , 2000, Canadian journal of experimental psychology = Revue canadienne de psychologie experimentale.

[4]  Brian C. Lovell,et al.  An Abandoned Object Detection System Based on Dual Background Segmentation , 2009, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance.

[5]  P. Cavanagh,et al.  Tracking multiple targets with multifocal attention , 2005, Trends in Cognitive Sciences.

[6]  Wen-Hao Wang,et al.  An Abandoned Objects Management System Based on the Gaussian Mixture Model , 2008, 2008 International Conference on Convergence and Hybrid Information Technology.

[7]  Chao Zhang,et al.  Abandoned Objects Detection Using Double Illumination Invariant Foreground Masks , 2010, 2010 20th International Conference on Pattern Recognition.

[8]  Osama Masoud,et al.  Real time, online detection of abandoned objects in public areas , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[9]  Jake K. Aggarwal,et al.  Detection of abandoned objects in crowded environments , 2007, 2007 IEEE Conference on Advanced Video and Signal Based Surveillance.