We introduce a new task-independent framework to model top-down overt visual attention based on graphical models for probabilistic inference and reasoning. We describe a Dynamic B...
A real-time object tracking and collision avoidance method for mobile robot navigation is presented using stereo vision and a laser sensor. Stereo vision is used to identify the ta...
Athanasios Tsalatsanis, Kimon P. Valavanis, Ali Ya...
Varying illumination and partial occlusion are two main difficulties in visual tracking. Existing methods based on appearance information cannot solve these problems effectively s...
We present a probabilistic multi-cue tracking approach constructed by employing a novel randomized template tracker and a constant color model based particle filter. Our approach ...
In recent years, optimization in dynamic environments has attracted a growing interest from the genetic algorithm community due to the importance and practicability in real world a...