Speed and Hardware Optimization of ORDP Algorithm Based Kalman Filter for 2D Object Tracking

Provided by: Inpressco
Topic: Hardware
Format: PDF
Tracking of a dynamic object is a challenging task and it becomes more tedious when multiple dynamic objects are present in the targeted zone. The main task in object tracking is to filter the movement information from undesired dynamic objects because this information is considered as noise. To overcome this problem, the implementation of kalman filter is presented which is used to track the desired dynamic object and to filter the noise in 2D object tracking by the estimation of past, present and future states of object.

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