2007 IEEE Conference on Advanced Video and Signal…
2007
The paper presents a new corner-model based learning method able to track non-rigid objects in the presence of occlusion. A voting mechanism followed by a probability density analysis of the voting… (More)
2008 15th IEEE International Conference on Image…
2008
This paper presents a tracking algorithm based on a sequential importance sampling (SIS) particle filter scheme followed by a resampling strategy where shape and color cues are exploited to handle… (More)
In the last few years, the application of ICT technologies in automotive field has taken an increasing role in improving both the safety and the driving comfort. In this context, systems capable of… (More)
14th International Conference on Image Analysis…
2007
This paper presents a corner-based method for tracking objects in video image frames. The method uses a vectorial shape representation based on relative object main corners positions and a non-linear… (More)
2009 16th IEEE International Conference on Image…
2009
In the near future automatic systems able to detect the traffic situation and to understand driver behavior and intent will probably become vehicle tools important for improving driver safety.… (More)
In this paper a system is presented able to acquire images from multiple indoor network cameras and extract contextual information about persons detected within the considered environment.… (More)
This paper presents a multitarget tracking algorithm based on a particle filter framework that exploits a sparse distributed shape model to handle partial occlusions. The state vector is composed by… (More)