Multiobject tracking in video using a trisection paradigm
Ayoub K. Al-Hamadi, Robert Niese, B. Michaelis · Pattern Recognition and Image Analysis · 2007
This paper proposes a technique for analyzing the following three problems: (a) segmentation of moving objects, (b) feature extraction, and (c) the solution of the correspondence problem in multiobject tracking in video sequences. In (c), we use a paradigm to solve the correspondence problem and to determine a motion trajectory based on a trisectional structure. The paradigm distinguishes between real-world objects, extracts image features such as motion blobs and color patches, and abstracts objects such as meta objects that denote real-world physical objects. The efficiency of the proposed method for determining the motion trajectories of moving objects will be demonstrated in this paper on the basis of the analysis of real image sequences that are subjected to severe disturbances (e.g., increasing congestion, shadow casting, and lighting transitions).