Browsing by Author "Tai, JC"

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Automatic contour initialization for image tracking of multi-lane vehicles and motorcycles.
(2003)
Tai, JC
;
Song, KT
;
電控工程研究所
;
Institute of Electrical and Control Engineering
This paper presents a novel design for automatic contour initialization and its applications to vision-based traffic monitoring., Active contour models are constructed subsequently to locate And track various types of vehicles, including cars and motorcycles. We propose, to use image measurement to. predict the position and size of vehicles in 6 special designed detection window. The initialization mechanism facilitates contour tracking of different size I vehicle simultaneously At a junction. Actual CCD. images of an artery Junction were employed to verify the proposed image tracking system. Traffic parameters such as, vehicle speed and numbers of vehicles. are obtained With satisfactory accuracy.
Image-based turn ratio measurement at road intersection
(2005)
Song, KT
;
Tai, JC
;
電控工程研究所
;
Institute of Electrical and Control Engineering
The measurement of vehicle turn ratio and based on that a prediction of the probability of a car to make a turn at an intersection are useful information for advanced traffic prediction and control. Conventional vision-based vehicle detection procedures that merely count the number of passing vehicles are not sufficient for turn ratio measurement, because they cannot tell where the vehicles come from at an intersection. This paper presents an image-based system for real-time turn ratio measurement. A method is proposed to estimate automatically the turn ratio of an intersection by using the techniques of detection window and optical flow calculation of motion vectors. A stand-alone image measurement system has been installed at a busy road junction in Hsinchu Science Park. Experimental results reveal that the average measurement error is within 2%.
Traffic monitoring based on real-time image tracking
(2003)
Lin, CP
;
Tai, JC
;
Song, KT
;
電控工程研究所
;
Institute of Electrical and Control Engineering
This paper presents a study on a stand-alone image tracking system for automatic traffic monitoring. The proposed image tracker consists of three parts: an edge detection module, an image tracking module and a traffic monitoring module. The edge-detection module is a special designed circuit board, which features fast CCD image processing and feature extraction. Frame rate (60Hz) edge detection of an image with resolution of 320 X 240 pixels is obtained on-board. The image tracking module performs the vehicle tracking in real time. Adopting active contour models and Kalman filtering techniques, we successfully achieved real-time image tracking of multi-lane moving vehicles. The traffic-monitoring module determines the traffic information from the tracked locations of vehicles. The current system provides three types of traffic information: the velocity of multi-lane vehicles, the number of vehicles and car accident detection. Experimental results are presented to demonstrate the real-time tracking of vehicles on an urban artery.