Abstract
In this paper, we propose an adaptive technique for the automatic extraction and tracking of moving objects in video sequences that works robustly under the influence of image-specific disturbances (e.g. brightness variations, shadow and partial occlusion). For this technique, we apply the colour information, a neural recognition system and a recursive filtering algorithm to the improvement of the matching quality when disturbances occur. This suggested intensity-based technique is adaptive and robust compared to the conventional intensity-based methods.
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Al-Hamadi, A., Mecke, R., Michaelis, B. (2003). Improvement of the Fail-Safe Characteristics in Motion Analysis Using Adaptive Technique. In: Sanfeliu, A., Ruiz-Shulcloper, J. (eds) Progress in Pattern Recognition, Speech and Image Analysis. CIARP 2003. Lecture Notes in Computer Science, vol 2905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24586-5_12
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DOI: https://doi.org/10.1007/978-3-540-24586-5_12
Publisher Name: Springer, Berlin, Heidelberg
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