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In this paper, we address the problem of vehicle detection and tracking with low-angle cameras by combining windshield detection and feature points clustering, effectively fusing several primitive image features such as color, edge and interest point. By exploring various heterogenous features and multiple vehicle models, we achieve at least two improvements over the existing methods: higher detection...
The vehicle shadow's detection and elimination work basically for extracting and tracking the vehicle characteristics, and it also plays a very important role in highway video surveillance and incident detection, affecting the post-processing of video image directly, such as vehicle tracking and speed measurement. On study of Kimmel variational and multi-scale Retinex algorithm to eliminate the vehicle...
This paper proposed an accurate shadow removal method for vehicle tracking. Firstly we detect and remove the shadow using optical gain based gradient analysis,in this process some parts of vehicle which are similar to shadow region in color space may be detected as shadow and removing these parts will leave some holes in the vehicle region. Then we fill these holes using the skeleton information of...
Delay of signalized intersection has been estimated not only by manual method but also some intersection models. Long queues of lanes will make it difficult for collecting data manually and delay calculated by signalized intersection models may not be perfect for a particular intersection. In this paper, we design a system that can calculate delay automatically based on image processing technology...
Recently video surveillance techniques have been widely applied to intelligent transportation systems. Tracking of moving objects such as vehicles has become a major topic in video surveillance applications. This paper presents a multi-feature fusion model based on a particle filter for moving object tracking. The particle filter combines color and edge orientation information by a stochastic fusion...
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