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We proposed a novel approach to track groups of people observed by a static camera. The approach relies on a unified Bayes' theorem based framework to model both scene background and the color distribution of targets. By sharing the framework, it is more simple and low cost to construct a practical surveillance system. Additionally, the framework has the advantages of insensitiveness to initial observations...
This paper presents an application of computer vision methods to traffic flow monitoring and road traffic analysis. The application utilizes image-processing and pattern recognition methods designed and modified to the needs and constrains of road traffic analysis. These methods combined together gives functional capabilities of the system to monitor the road, to initiate automated vehicle tracking,...
We propose a system that can reliably track multiple cars in congested traffic environments. Our system's key basis is the implementation of a sequential Monte Carlo algorithm, which introduces robustness against problems arising due to the proximity between vehicles. By directly modelling occlusions and collisions between cars we obtain promising results on an urban traffic dataset. Extensions to...
This paper presents a method for rectifying video sequences from rolling shutter (RS) cameras. In contrast to previous RS rectification attempts we model distortions as being caused by the 3D motion of the camera. The camera motion is parametrised as a continuous curve, with knots at the last row of each frame. Curve parameters are solved for using non-linear least squares over inter-frame correspondences...
We present here a prototype of an algorithm for vehicle speed estimation. Different from previous approaches, our algorithm requires no road markers and fewer manual calibrations. Based on specific projection rules, we find a relation between the in-camera coordinate and the real world coordinate. A non-linear regression is employed to estimate the model parameters. This model enables us to estimate...
This paper presents a video tracking system for tracking players in indoor sports using two high quality digital cameras. The tracking algorithm is a based on template matching technique taking into consideration closed world assumptions. The output of the system can be visualized interactively for convenient analysis of player movements. The implementation has been efficiently done as a software...
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