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With rapid increase of number of vehicles on roads it is necessary to maintain close monitoring of traffic. For this purpose many surveillance cameras are placed along roads and on crossroads, creating a huge communication load between the cameras and the monitoring center. Therefore, the data needs to be processed on site and transferred to the monitoring centers in form of metadata or as a set of selected images. For this purpose it is necessary to detect events of interest already on the camera side, which implies using smart cameras as visual sensors. In this paper we propose a method for tracking of vehicles and analysis of vehicle trajectories to detect different traffic events. Kalman filtering is used for tracking, combining foreground and optical flow measurements. Obtained vehicle trajectories are used to detect different traffic events. Every new trajectory is compared with collection of normal routes and clustered accordingly. If the observed trajectory differs from all normal routes more than a predefined threshold, it is marked as abnormal and the alarm is raised. The system was developed and tested on Texas Instruments OMAP platform. Testing was done on four different locations, two locations in the city and two locations on the open road.
Keywords
Kalman filter, segmentation, analysis of vehicle trajectories, tracking, optical flow, smart video cameras, FEATURES, TRACKING

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Chicago
Macesic, Marko , Vedran Jelača, Jorge Niño Castañeda, Nenad Prodanovic, Marko Panic, Aleksandra Pizurica, Vladimir Crnojevic, and Wilfried Philips. 2012. “Real-time Detection of Traffic Events Using Smart Cameras.” In Proceedings of Spie, the International Society for Optical Engineering, ed. J Roning and DP Casasent. Vol. 8301. Bellingham, WA, USA: SPIE.
APA
Macesic, M., Jelača, V., Niño Castañeda, J., Prodanovic, N., Panic, M., Pizurica, A., Crnojevic, V., et al. (2012). Real-time detection of traffic events using smart cameras. In J. Roning & D. Casasent (Eds.), PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING (Vol. 8301). Presented at the Conference on Intelligent Robots and Computer Vision XXIX - Algorithms and Techniques, Bellingham, WA, USA: SPIE.
Vancouver
1.
Macesic M, Jelača V, Niño Castañeda J, Prodanovic N, Panic M, Pizurica A, et al. Real-time detection of traffic events using smart cameras. In: Roning J, Casasent D, editors. PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. Bellingham, WA, USA: SPIE; 2012.
MLA
Macesic, Marko , Vedran Jelača, Jorge Niño Castañeda, et al. “Real-time Detection of Traffic Events Using Smart Cameras.” Proceedings of Spie, the International Society for Optical Engineering. Ed. J Roning & DP Casasent. Vol. 8301. Bellingham, WA, USA: SPIE, 2012. Print.
@inproceedings{2027417,
  abstract     = {With rapid increase of number of vehicles on roads it is necessary to maintain close monitoring of traffic. For this purpose many surveillance cameras are placed along roads and on crossroads, creating a huge communication load between the cameras and the monitoring center. Therefore, the data needs to be processed on site and transferred to the monitoring centers in form of metadata or as a set of selected images. For this purpose it is necessary to detect events of interest already on the camera side, which implies using smart cameras as visual sensors. In this paper we propose a method for tracking of vehicles and analysis of vehicle trajectories to detect different traffic events. Kalman filtering is used for tracking, combining foreground and optical flow measurements. Obtained vehicle trajectories are used to detect different traffic events. Every new trajectory is compared with collection of normal routes and clustered accordingly. If the observed trajectory differs from all normal routes more than a predefined threshold, it is marked as abnormal and the alarm is raised. The system was developed and tested on Texas Instruments OMAP platform. Testing was done on four different locations, two locations in the city and two locations on the open road.},
  articleno    = {83010E},
  author       = {Macesic, Marko  and Jela\v{c}a, Vedran and Ni{\~n}o Casta{\~n}eda, Jorge and Prodanovic, Nenad and Panic, Marko  and Pizurica, Aleksandra and Crnojevic, Vladimir and Philips, Wilfried},
  booktitle    = {PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING},
  editor       = {Roning, J and Casasent, DP},
  isbn         = {9780819489487},
  issn         = {0277-786X},
  keyword      = {Kalman filter,segmentation,analysis of vehicle trajectories,tracking,optical flow,smart video cameras,FEATURES,TRACKING},
  language     = {eng},
  location     = {Burlingame, CA, USA},
  pages        = {11},
  publisher    = {SPIE},
  title        = {Real-time detection of traffic events using smart cameras},
  url          = {http://dx.doi.org/10.1117/12.909461},
  volume       = {8301},
  year         = {2012},
}

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