Vehicle Counting with an Embedded Traffic Data System using an Optical Transient Sensor

In this paper a sensor system for traffic data acquisition is presented. The embedded system, comprising a motion-sensitive optical sensor and a low-cost, low-power DSP, is capable of detecting, counting and measuring the velocity of passing vehicles. The detection is based on monitoring of the optical sensor output within configurable regions of interest in the sensor's field-of-view. In particular in this work we focus on the evaluation of the applied vehicle counting algorithm. The verification of the acquired data is based on manually annotated traffic data of 360 minutes length, containing a total of about 7000 vehicles. The counting error is determined for short (3 minutes) and long (60 minutes) time intervals. The calculated error of 99,2% of the short time intervals and 100% of the long time intervals analyzed, remain within commonly recognized margins of 10% and 3% of detection error respectively.

[1]  Stephan Schraml,et al.  Embedded Vehicle Speed Estimation System Using an Asynchronous Temporal Contrast Vision Sensor , 2007, EURASIP J. Embed. Syst..

[2]  Fernando Pérez-González,et al.  Estimation of Road Vehicle Speed Using Two Omnidirectional Microphones: A Maximum Likelihood Approach , 2004, EURASIP J. Adv. Signal Process..

[3]  Stephen J. Bahler,et al.  Field Test of Nonintrusive Traffic Detection Technologies , 1996 .

[4]  Rolf Ernst,et al.  A High-End Real-Time Digital Film Processing Reconfigurable Platform , 2007, EURASIP J. Embed. Syst..

[5]  A. P. Gribbon Field test of nonintrusive traffic detection technologies , 1998 .

[6]  Bernhard Rinner,et al.  Real-time video analysis on an embedded smart camera for traffic surveillance , 2004, Proceedings. RTAS 2004. 10th IEEE Real-Time and Embedded Technology and Applications Symposium, 2004..

[7]  Michalis E. Zervakis,et al.  A survey of video processing techniques for traffic applications , 2003, Image Vis. Comput..

[8]  T. Lovas,et al.  LIDAR-BASED VEHICLE SEGMENTATION , .

[9]  Heinrich Garn,et al.  Estimation of Vehicle Speed Based on Asynchronous Data from a Silicon Retina Optical Sensor , 2006, 2006 IEEE Intelligent Transportation Systems Conference.

[10]  A.N. Belbachir,et al.  Embedded Vision System for Real-Time Object Tracking using an Asynchronous Transient Vision Sensor , 2006, 2006 IEEE 12th Digital Signal Processing Workshop & 4th IEEE Signal Processing Education Workshop.

[11]  P. Lichtsteiner,et al.  64x64 Event-Driven Logarithmic Temporal Derivative Silicon Retina , 2005 .

[12]  Kwabena Boahen,et al.  Point-to-point connectivity between neuromorphic chips using address events , 2000 .