Towards robust automatic segmentation and tracking analysis of objects in video sequences
Ayoub K. Al-Hamadi, Robert Niese, B. Michaelis · 2004
The paper demonstrates a technique for analysing the following three problems. They are mainly associated with the automatic extraction of moving objects, suppression of the remaining errors, and tracking analysis under disturbed image situations from static camera. For this technique, a modified difference image-based approach for the segmentation of moving objects in video sequences is applied. The second part of the paper examines the problem of suppression of the remaining errors (holes, outliers or fusion of regions) by means of morphological and separation operators. The extracted image regions represent the object candidates for the following tracking. The efficiency of this suggested technology for moving objects segmentation will be demonstrated in this paper on the basis of the analysis of strongly disturbed image sequences.