Year by year, traffic congestion is severe on street in big cities such as Tokyo because vehicles increase rapidly compared to constant street surface. Furthermore, this problem causes economic and environmental waste. Therefore the attempt to monitor vehicles and their behaviors becomes challenging demanding unavoidably on vehicle statistical analysis for efficient and effective traffic planni...

Generating vehicle trajectories from video data is an important application of ITS (Intelligent Transportation Systems). We introduce a new tracking approach which uses model-based 3-D vehicle detection and description algorithm. Our vehicle detection and description algorithm is based on a probabilistic line feature grouping, and it is faster (by up to an order of magnitude) and more flexible ...

In this paper, we propose an integrated system that combines vehicle detection, lane detection, and vehicle distance estimation in a collaborative manner. Adaptive search windows for vehicles provide constraints on the width between lanes. By exploiting the constraints, the search space for lane detection can be efficiently reduced. We employ local patch constraints for lane detection to improv...