A Novel approach for Object Tracking in an Independent Ground Level Vehicle
Sandhya Sharma, Bharat B. Parmar · 2014
This is attempts to investigation into object tracking and how they can be applied to develop a visual perception system for independent vehicles. In recent years, independent robots have shifted from industry to unconstrained human environments. Unlike their industrial counterparts, the new generation of robots cannot rely on specific knowledge of a highly structured environment but must operate in unknown environments. This requires the robots to be able to understand their surroundings. Vision is clearly an intelligent choice for perception of such a dynamic environment. Therefore this attempts to develop a novel approach for object tracking in an independent ground level vehicle by combining color tracking and invariant feature tracking using kalman filter.