Vision-based detection of events using line-scan camera

Abstract

Vision-based method of event detection for control algorithm of acorn scarification device has been presented in the paper. Instead of frame-based approach, line-scan mode of digital camera has been used. The advantage of this approach is an improved temporal resolution of machine-vision-based event detector and reduced latency as the line-acquisition time is significantly lower than the acquisition time of a frame of 2D image. Segmentation of objects moving in front of the camera is one of the steps of the detection. Usage of two alternative methods of segmentation have been reported in the article: Sum of Absolute Differences and motion detection by means of adaptive Gaussian Mixture Model. Motion signal is then a subject of event detection.