Abstract: Panoramic videos are generated from multiple video feeds in real time received from multiple video cameras, such as an array of video cameras having overlapping fields of view. Texture mapping techniques are employed to correct lens distortion or other defects or deficiencies in the video frames in each of the video feeds caused by optical properties of the corresponding video camera. Video frames of related video feeds, such as the video feeds of cameras in an array of cameras having adjacent and overlapping fields of view, are seamlessly stitched automatically based on an initial manual configuration, again employing texture mapping techniques. A colour profile of the different video frames is normalized to provide a uniform and seamless colour profile of the video panoramic view.

Abstract: A system for tracking objects using an Intelligent Video processing system in the context of airport surface monitoring. The system addresses airport surface monitoring operational issues such as all weather conditions, high robustness, and low false report rate. The output can be used to complement existing airport surface monitoring systems. By combining the use of multi-sensors and an adverse weather optimized system, the system is capable of producing an improved stream of information for the target object over traditional computer vision based airport surface monitoring systems.

Abstract: A system for tracking objects using an Intelligent Video processing system in the context of airport surface monitoring. The system addresses airport surface monitoring operational issues such as all weather conditions, high robustness, and low false report rate. The output can be used to complement existing airport surface monitoring systems. By combining the use of multi-sensors and an adverse weather optimized system, the system is capable of producing an improved stream of information for the target object over traditional computer vision based airport surface monitoring systems.