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This paper describes a visual surveillance system for remote monitoring of unattended environments. For the purpose of efficiently tracking multiple people in the presence of occlusions, we propose: (i) to combine blob matching with particle filtering, and (ii) to augment these tracking algorithms with a novel colour appearance model. The proposed system efficiently counteracts the shortcomings of...
Robust and real time moving object tracking is a tricky job in computer vision problems. Particle filtering has been proven very successful for non-Gaussian and non-linear estimation problems. In this paper, we first try to develop a color based particle filter. In this approach, the object tracking system relies on the deterministic search of window, whose color content matches a reference histogram...
A service robot has to identify objects for given tasks by using the camera mounted on its body. In general, previously proposed object-recognition systems do not show enough performance to apply them to service robots. Since, the object-recognition system for service robots must be robust for environmental conditions and fast enough to support its tasks. Changes of Illumination, viewpoint and scale...
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