DETECTION AND TRACKING THE TRAJECTORY OF A LUMINOUS OBJECT

Werkner Alexey Sergeevich, Gorlova Ksenia Olegovna

the article is devoted to the development of an effective system for tracking moving objects at night for use on unmanned aerial vehicles. The work implements Python code that uses the OpenCV library to detect bright objects on a video stream or webcam, and also tracks the trajectory of their movement. This code is an example of computer vision and video processing. The developed algorithm demonstrates high efficiency and accuracy in detecting and tracking objects, especially in conditions of limited visibility. The proposed system is recommended for integration with the global navigation satellite system, as well as use in conjunction with lidars and radars. A suitable combination of these technologies can provide reliable tracking of object trajectories, making the system suitable for applications in various fields. The proposed system can be used as a starting point for further research and development in this area.

Keywords:object detection, trajectory tracking, computer vision, video processing, OpenCV library, Python, neural network