A Vehicle Tracking System Overcoming Occlusion and an Accident Detection Monitoring Using Tracking Trace

We consider the video image detector systems using tracking techniques which can be handling of the all kind of problems in the real world, such as shadow, occlusion, and vehicle detection by nighttime. Also we have derived the traffic information, volume count, speed, and occupancy time, under kaleidoscopic environments. In this system we propose a shadow cast algorithm and this system was tested under typical outdoor field environments at a test site. We evaluated the performance of traffic information, volume counts, speed, and occupancy time, with 4 lanes in which 2 lanes are upstream and the rests are downstream. And the performance of our video-based image detector system is qualified by comparing with laser detector installed on testing place. And we propose an accident detection monitoring system through this tracking trace.

[1]  Shaogang Gong,et al.  Tracking Multiple People Under Occlusion Using Multiple Cameras , 2000, BMVC.

[2]  Alexandre Bernardino,et al.  Viewpoint Independent Detection of Vehicle Trajectories and Lane Geometry from Uncalibrated Traffic Surveillance Cameras , 2004, ICIAR.

[3]  Jie Zhou,et al.  SVM-based detection of moving vehicles for automatic traffic monitoring , 2001, ITSC 2001. 2001 IEEE Intelligent Transportation Systems. Proceedings (Cat. No.01TH8585).

[4]  Sei-Wang Chen,et al.  Shadow detection and removal for traffic images , 2004, IEEE International Conference on Networking, Sensing and Control, 2004.

[5]  情報処理学会,et al.  IAPR MVA 2007 : IAPR Conference on Machine Vision Applications, May 16-18, 2007, Institute of Industrial Science, the University of Tokyo, Tokyo, Japan , 2007 .

[6]  Rahul Sukthankar,et al.  RACCOON: A Real-time Autonomous Car Chaser Operating Optimally At Night , 1993, Proceedings of the Intelligent Vehicles '93 Symposium.

[7]  ZuWhan Kim.  Real time object tracking based on dynamic feature grouping with background subtraction , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[8]  Hans-Hellmut Nagel,et al.  Model-based object tracking in monocular image sequences of road traffic scenes , 1993, International Journal of Computer 11263on.

[9]  Guohui Zhang,et al.  Investigation into Shadow Removal from Traffic Images , 2007 .

[10]  A. M. Tekalp,et al.  Multiple camera tracking of interacting and occluded human motion , 2001, Proc. IEEE.

[11]  Rita Cucchiara,et al.  Probabilistic people tracking for occlusion handling , 2004, ICPR 2004.

[12]  Alessandro Bevilacqua,et al.  Effective Shadow Detection in Traffic Monitoring Applications , 2003, WSCG.

[13]  Jitendra Malik,et al.  Towards robust automatic traffic scene analysis in real-time , 1994, Proceedings of 12th International Conference on Pattern Recognition.

[14]  Chia-Hung Yeh,et al.  Robust Vehicle and Traffic Information Extraction for Highway Surveillance , 2005, EURASIP J. Adv. Signal Process..

[15]  Se-Young Oh,et al.  Front and rear vehicle detection and tracking in the day and night times using vision and sonar sensor fusion , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[16]  Larry S. Davis,et al.  W4: Real-Time Surveillance of People and Their Activities , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[17]  Se-Young Oh,et al.  Front and Rear Vehicle Detection and Tracking in the Day and Night Time Using Vision and Sonar Sensors , 2005 .

[18]  Hanseok Ko,et al.  Multiple vehicle tracking based on regional estimation in nighttime CCD images , 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[19]  David Beymer,et al.  A real-time computer vision system for vehicle tracking and traffic surveillance , 1998 .

[20]  Chengcui Zhang,et al.  Learning-based spatio-temporal vehicle tracking and indexing for transportation multimedia database systems , 2003, IEEE Trans. Intell. Transp. Syst..

[21]  A. M. Tekalp,et al.  Multiple camera fusion for multi-object tracking , 2001, Proceedings 2001 IEEE Workshop on Multi-Object Tracking.

[22]  Sharath Pankanti,et al.  Appearance models for occlusion handling , 2006, Image Vis. Comput..

[23]  Myungseob Kim,et al.  Development of an Automatic Traffic Conflict Detection System Based on Image Tracking Technology , 2009 .

[24]  Chongzhao Han,et al.  Moving shadow detection and removal for traffic sequences , 2007, Int. J. Autom. Comput..

[25]  Soo-Myung Choi,et al.  Effects of Distributed Load on the Dynamic Response of the Reinforced Concrete Slabs , 2008 .

[26]  Shai Avidan,et al.  Support vector tracking , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.