Infrared target detecting and tracking based on SOPC

During the tracking process of infrared (IR) multi-targets, sometimes there exists occlusion of targets in a short time, which leads to target losing in subsequent tracking. In order to improve the accuracy of detecting and the robustness of tracking, we propose to detect moving IR targets utilizing the correlation of their tracks and adopt the Kalman Filter model to do tracking. Both the detecting and tracking algorithms are implemented on a FPGA system. In order to lower the computational cost, the features of the targets are stored in the memory instead of the whole frame image. Experimental results indicate that the proposed method is effective to address the drawbacks of the short-time occlusion of targets efficiently with high speed.