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An Intelligent Video Surveillance Framework with Big Data Management for Indian Road Traffic System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 123 - Number 10 |
| Year of Publication: 2015 |
| Authors: R. Balaji Ganesh, S. Appavu |
10.5120/ijca2015905519
|
R. Balaji Ganesh, S. Appavu . An Intelligent Video Surveillance Framework with Big Data Management for Indian Road Traffic System. International Journal of Computer Applications. 123, 10 ( August 2015), 12-19. DOI=10.5120/ijca2015905519
Abstract
Intelligent Transportation Systems (ITS) and Advanced Traveller Information Systems (ATIS) are the emerging areas of research. They focus with keen interest to solve the issues in traffic management and planning and designing infrastructure to meet the demanding needs of the general public. Many research articles focus on developing video surveillance algorithms for processing video data captured at real-time traffic scenes, but as there is a huge demand for more sophisticated software systems, complexity of the algorithms gets increased in terms of data storage and large scale processing. This research article focuses on refining a framework for large scale video analytics while incorporating the simple, light-weight aspects of a video surveillance algorithm, and makes an insight by adopting blob tracking based video surveillance algorithm for large scale video analytics. The proposed system uses hadoop’ map-reduce function to clean and pre-process the hours of traffic video captured in the local site stores. It summarizes and transmits the key frames of the video data to the central computing server to analyses the video frames. The key frame differencing method has been justified as a pronouncing method for data preprocessing and cleaning. Further this system follows the Blob detection, Identification and Tracking using connected components algorithm to determine the correlation between the vehicles moving in the real road scene.
References
- Sadek, A., Smith, B., Demetsky, M.. A Prototype Case-based Reasoning System for Real-time Freeway Traffic Routing. Transportation Research Part C 9 (2001), 353-380.
- Yang Wang,, Real-Time Moving Vehicle Detection with Cast Shadow Removal in Video Based on Conditional Random Field, IEEE Transactions On Circuits And Systems For Video Technology, 2008
- G. L. Foresti, V. Murino, and C. Regazzoni, “Vehicle Recognition and Tracking from Road Image Sequences,” IEEE Transactions on Vehicular Technology, vol. 48, no. 1, pp. 301-318, January 1999.
- C. Mallikarjuna, A. Phanindra; and K. Ramachandra Rao., Traffic Data Collection under Mixed Traffic Conditions Using Video Image Processing., Journal of Transportation Engineering ASCE / Apr. 2009
- Faro, D. Giordano, and C. Spampinato, “Evaluation of the Traffic Parameters in a Metropolitan Area by Fusing Visual Perceptions and CNN Processing of Webcam Images,” IEEE Trans. Neural Netw., vol. 19, no. 6, pp. 1108–1129, Jun. 2008.
- Dunren Che, Mejdl Safran, Zhiyong Peng, “From Big Data to Big Data Mining: Challenges, Issues, and Opportunities,” Database Systems for Advanced Applications, 2013
- Ling LIU, “Computing Infrastructure for Big Data Processing,” Frontiers of Computer Science, 2013, Vol.7(2), pp.165-170, April 2013
- Nikolaos Mpountouropoulos, Anastasios Tefas, Nikos Nikolaidis, Ioannis Pitas, “Visual Information Analysis for Big-Data Using Multi-core Technologies,” Advances in Intelligent Systems and Computing, Volume 297, pp 309-316, 2014
- Amir Gandomi, Murtaza Haider, “Beyond the Hype: Big Data Concepts, Methods, and Analytics” International Journal of Information Management, Vol. 35, pp. 137–144, 2014
- Cheng-You Cui, Ji-Sun Shin, Fumihiro Shoji, Hee-Hyol Lee,“ Traffic Signal Control Based on a Predicted Traffic Jam Distribution”, IEEE Transactions on Artificial Life Robotics (2009) pp. 134–137
- Oscar Rosas-Jaimes, Luis Alvarez-Icaza,“ Vehicle Density and Velocity Estimation on Highways for On-Ramp Metering Control”, Springer - Nonlinear Dynamics (2007) , Vol.49, pp.555–566
- E. Atkociunas, R. Blake , A. Juozapavicius , M. Kazimianec,“ Image Processing in Road Traffic Analysis”, Nonlinear Analysis: Modelling and Control, 2005, Vol. 10, No. 4, pp. 315–332.
- LIU Xingjian, AI Tinghua, LIU Yaolin,“ Road Density Analysis Based on Skeleton Partitioning for Road Generalization”, Geo-spatial Information Science 12(2): Volume 12, June 2009, pp.110-116
- Honghai Liu,Shengyong Chen, and Naoyuki Kubota, “ Intelligent Video Systems and Analytics: A Survey”, IEEE Transactions on Industrial Informatics, Vol. 9, No. 3, pp. 1222-1233, August 2013.
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