videosensorik
Videosensorik is the practice of using video cameras and processing methods to measure properties of the environment, detect events, or infer the state of a scene. It combines hardware (cameras, optics, illumination) with software (image processing, computer vision, and machine learning) to extract information from video streams. It intersects with computer vision, sensor fusion, and robotics and is used in domains such as automotive, surveillance, and industry.
Core tasks include detection, tracking, and recognition; motion estimation and optical flow; scene understanding and activity
Applications include autonomous driving and driver assistance, robotics, security and surveillance, sports analytics, augmented reality, and
Challenges include variability in lighting, occlusions, motion blur, privacy concerns, data volume, and real-time requirements. Trends