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Nighttime traffic surveillance is difficult due to insufficient and unstable appearance information and strong background interference. We present in this paper a robust nighttime vehicle detection system by detecting, tracking, and grouping headlights. First, we train AdaBoost classifiers for headlights detection to reduce false alarms caused by reflections. Second, to take full advantage of the...
The video captured from forward moving camera has been used for environment surveillance, endoscopy, pipeline inspection and mobile navigation, from which 3D information acquisition will further facilitate the applications. In this paper, we proposed a new method named bi-slit projections to achieve the stereo imaging from forward motion video captured by only single camera. The method only requires...
With the rapid development of high-speed railway, the safety running of trains becomes extremely urgent. Video is a direct and effective manner for railway environment monitoring. In this paper, we propose a route panoramic representation to produce a virtual environment of the railway scene from a train-borne video, which provides an all-round display for the entire length of railway. We generate...
In this paper, we propose a method for removing motion blur and deringing from images, which can be applied to handle both the camera motion blur and the object motion blur. Fully taking the advantage of abundant information of blurred/noisy image pair, we can extract the alpha mattes of same objects in both burred image and noisy image, and then estimate the blur kernel of blurred image using the...
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