Image segmentation and pattern matching based FPGA/ASIC implementation architecture of real-time object tracking

A novel algorithm for object tracking of video pictures, based on image segmentation and pattern matching as well as its FPGA/ASIC implementation architecture are presented. With image segmentation, we can detect all objects in the images no matter whether they are moving or not. Using image segmentation results of successive frames, we exploit pattern matching in a simple object feature space for tracking of objects. The proposed algorithm can be applied to multiple moving and still objects even in the case of a moving camera. The FPGA/ASIC implementation architecture is verified to enable real-time tracking of up to 220 objects, when realized with modern FPGA hardware.